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original_index | original_phrase | original_polarity | original_subjectivity | original_sentiment | translated_phrase | translated_polarity | translated_subjectivity | data_source | translated_sentiment | ||
---|---|---|---|---|---|---|---|---|---|---|---|
2 | 0 | Wow... Loved this place. | 0.3999999999999999 | 0.9 | 1 | Wow... This place sucked. | 0.1 | 1.0 | yelp dataset | negative | |
3 | 1 | Crust is not good. | -0.35 | 0.6000000000000001 | 0 | Crust is quite good. | 0.7 | 0.6000000000000001 | yelp dataset | positive | |
4 | 2 | Not tasty and the texture was just nasty. | -1.0 | 1.0 | 0 | Quite tasty with good texture. | 0.7 | 0.6000000000000001 | yelp dataset | positive | |
5 | 3 | Stopped by during the late May bank holiday off Rick Steve recommendation and loved it. | 0.1999999999999999 | 0.7 | 1 | Stopped by during the late May bank holiday off Rick Steve recommendation and didn't like it. | -0.3 | 0.6 | yelp dataset | negative | |
6 | 4 | The selection on the menu was great and so were the prices. | 0.8 | 0.75 | 1 | The selection on the menu was poor and the prices were high. | -0.12 | 0.57 | yelp dataset | negative | |
7 | 5 | Now I am getting angry and I want my damn pho. | -0.5 | 1.0 | 0 | I've been waiting for my pho. | 0.0 | 0.0 | yelp dataset | neutral | |
8 | 6 | Honeslty it didn't taste THAT fresh.) | 0.3 | 0.5 | 0 | Honestly it tasted VERY fresh. | 0.495 | 0.775 | yelp dataset | positive | |
9 | 8 | The fries were great too. | 0.8 | 0.75 | 1 | The fries were also not great. | -0.4 | 0.75 | yelp dataset | negative | |
10 | 9 | A great touch. | 0.8 | 0.75 | 1 | A bad touch | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
11 | 10 | Service was very prompt. | 0.2 | 0.3 | 1 | Service took ages. | 0.0 | 0.0 | yelp dataset | negative | |
12 | 11 | Would not go back. | 0.0 | 0.0 | 0 | I'd go back again. | 0.0 | 0.0 | yelp dataset | positive | |
13 | 12 | The cashier had no care what so ever on what I had to say it still ended up being wayyy overpriced. | 0.0 | 0.0 | 0 | The cashier was friendly and I ended up getting a good deal. | 0.5375 | 0.55 | yelp dataset | positive | |
14 | 13 | I tried the Cape Cod ravoli, chicken,with cranberry...mmmm! | 0.0 | 0.0 | 1 | I tried the Cape Cod ravioli, the chicken and cranberry was not a good combination. | -0.475 | 0.775 | yelp dataset | negative | |
15 | 14 | I was disgusted because I was pretty sure that was human hair. | -0.0625 | 0.7472222222222222 | 0 | I was enchanted by the good food hygiene. | 0.7 | 0.6000000000000001 | yelp dataset | positive | |
16 | 15 | I was shocked because no signs indicate cash only. | -0.35 | 0.9 | 0 | The signeage was clear. | 0.1 | 0.3833333333333333 | yelp dataset | positive | |
17 | 16 | Highly recommended. | 0.16 | 0.5399999999999999 | 1 | Do not recommend. | 0.0 | 0.0 | yelp dataset | negative | |
18 | 17 | Waitress was a little slow in service. | -0.24375 | 0.4499999999999999 | 0 | Waitress was prompt in service. | 0.0 | 0.0 | yelp dataset | positive | |
19 | 18 | This place is not worth your time, let alone Vegas. | -0.15 | 0.1 | 0 | This place is worth your time and fits right into Vegas. | 0.2928571428571428 | 0.3178571428571428 | yelp dataset | positive | |
20 | 19 | did not like at all. | 0.0 | 0.0 | 0 | quite liked it. | 0.6 | 0.8 | yelp dataset | positive | |
21 | 21 | The food, amazing. | 0.6000000000000001 | 0.9 | 1 | The food, atrocious. | -0.7 | 1.0 | yelp dataset | negative | |
22 | 22 | Service is also cute. | 0.5 | 1.0 | 1 | Service is also not cute. | -0.25 | 1.0 | yelp dataset | negative | |
23 | 23 | I could care less... The interior is just beautiful. | 0.3416666666666667 | 0.5333333333333333 | 1 | As far as I'm concerned the interior looks drab. | 0.1 | 1.0 | yelp dataset | negative | |
24 | 24 | So they performed. | 0.0 | 0.0 | 1 | So they performed. | 0.0 | 0.0 | yelp dataset | neutral | |
25 | 25 | That's right....the red velvet cake.....ohhh this stuff is so good. | 0.35 | 0.3 | 1 | That's right....the red velvet cake.....that stuff was not that great. | 0.4 | 0.375 | yelp dataset | negative | |
26 | 26 | - They never brought a salad we asked for. | 0.0 | 0.0 | 0 | - They brought a large salad. | 0.2142857142857142 | 0.4285714285714285 | yelp dataset | positive | |
27 | 27 | This hole in the wall has great Mexican street tacos, and friendly staff. | 0.3916666666666666 | 0.4166666666666667 | 1 | This hole in the wall is not worth your time. | -0.15 | 0.1 | yelp dataset | negative | |
28 | 28 | Took an hour to get our food only 4 tables in restaurant my food was Luke warm, Our sever was running around like he was totally overwhelmed. | 0.1999999999999999 | 0.7833333333333333 | 0 | Food was good and service was prompt. | 0.7 | 0.6000000000000001 | yelp dataset | positive | |
29 | 29 | The worst was the salmon sashimi. | -1.0 | 1.0 | 0 | The best was the salmon sashimi. | 1.0 | 0.3 | yelp dataset | positive | |
30 | 30 | Also there are combos like a burger, fries, and beer for 23 which is a decent deal. | 0.1666666666666666 | 0.6666666666666666 | 1 | Also there are combos like a burger, fries and beer for 23 but that is expensive. | -0.5 | 0.7 | yelp dataset | negative | |
31 | 36 | Ample portions and good prices. | 0.7 | 0.6000000000000001 | 1 | Small portions and high prices | -0.045 | 0.47 | yelp dataset | negative | |
32 | 37 | Poor service, the waiter made me feel like I was stupid every time he came to the table. | -0.6 | 0.8 | 0 | Good service, the waiter was very sociable. | 0.4499999999999999 | 0.45 | yelp dataset | positive | |
33 | 38 | My first visit to Hiro was a delight! | 0.3125 | 0.3333333333333333 | 1 | My first visit to Hiro was terrible! | -0.375 | 0.6666666666666666 | yelp dataset | negative | |
34 | 39 | Service sucks. | -0.3 | 0.3 | 0 | Service is good. | 0.7 | 0.6000000000000001 | yelp dataset | positive | |
35 | 40 | The shrimp tender and moist. | 0.0 | 0.0 | 1 | The shrimp tough and dry. | -0.2277777777777777 | 0.7166666666666667 | yelp dataset | negative | |
36 | 41 | There is not a deal good enough that would drag me into that establishment again. | 0.1999999999999999 | 0.3902777777777778 | 0 | I can't wait to get another deal from this establishment. | 0.0 | 0.0 | yelp dataset | positive | |
37 | 42 | Hard to judge whether these sides were good because we were grossed out by the melted styrofoam and didn't want to eat it for fear of getting sick. | -0.101984126984127 | 0.6662698412698412 | 0 | The sides were great and came in a really nice container! | 0.775 | 0.875 | yelp dataset | positive | |
38 | 43 | On a positive note, our server was very attentive and provided great service. | 0.5157575757575757 | 0.7651515151515151 | 1 | On another note, the server was inattentive and provided inadequate service. | 0.0 | 0.0 | yelp dataset | negative | |
39 | 44 | Frozen pucks of disgust, with some of the worst people behind the register. | -0.7 | 0.85 | 0 | Frozen pucks of joy, with very nice people behind the register. | 0.3933333333333333 | 0.6333333333333333 | yelp dataset | positive | |
40 | 45 | The only thing I did like was the prime rib and dessert section. | 0.0 | 1.0 | 1 | The only thing I didn't like was the prime rib and dessert section. | 0.0 | 1.0 | yelp dataset | negative | |
41 | 46 | It's too bad the food is so damn generic. | -0.3499999999999999 | 0.3333333333333333 | 0 | It's great that the food was out of the ordinary. | 0.275 | 0.625 | yelp dataset | positive | |
42 | 47 | The burger is good beef, cooked just right. | 0.4928571428571428 | 0.5678571428571428 | 1 | The burger is poor beef, cooked badly. | -0.5499999999999999 | 0.6333333333333333 | yelp dataset | negative | |
43 | 48 | If you want a sandwich just go to any Firehouse!!!!! | 0.0 | 0.0 | 1 | If you want a sandwich just stay away from any Firehouse!!!!! | 0.0 | 0.0 | yelp dataset | negative | |
44 | 49 | My side Greek salad with the Greek dressing was so tasty, and the pita and hummus was very refreshing. | 0.2166666666666666 | 0.3333333333333333 | 1 | My side greed salad with the Greek dressing was not tasty, and the pita and hummus weren't great either. | 0.4 | 0.375 | yelp dataset | negative | |
45 | 50 | We ordered the duck rare and it was pink and tender on the inside with a nice char on the outside. | 0.1999999999999999 | 0.5625 | 1 | We ordered the duck rare and it was not cooked adequately. | 0.3166666666666666 | 0.6166666666666667 | yelp dataset | negative | |
46 | 51 | He came running after us when he realized my husband had left his sunglasses on the table. | 0.0 | 0.0 | 1 | He pocketed the sunglasses when he realized my husband had left them on the table. | 0.0 | 0.0 | yelp dataset | negative | |
47 | 52 | Their chow mein is so good! | 0.875 | 0.6000000000000001 | 1 | Their chow mein is so bad! | -0.8749999999999998 | 0.6666666666666666 | yelp dataset | negative | |
48 | 53 | They have horrible attitudes towards customers, and talk down to each one when customers don't enjoy their food. | -0.2518518518518519 | 0.5962962962962963 | 0 | They have good attutides towards customers, and speak politely to each one. | 0.7 | 0.6000000000000001 | yelp dataset | positive | |
49 | 54 | The portion was huge! | 0.5000000000000001 | 0.9 | 1 | The portion was tiny! | 0.0 | 0.5 | yelp dataset | negative | |
50 | 55 | Loved it...friendly servers, great food, wonderful and imaginative menu. | 0.775 | 0.8125 | 1 | Hated it...unfriendly server, bad food, bland and unpleasant menu. | -0.6041666666666666 | 0.7875000000000001 | yelp dataset | negative | |
51 | 56 | The Heart Attack Grill in downtown Vegas is an absolutely flat-lined excuse for a restaurant. | 0.075 | 0.475 | 0 | The Heart Attack Grill in downtown Vegas is an absolutely wonderful place for a restaurant. | 1.0 | 1.0 | yelp dataset | negative | |
52 | 0 | The salad had just the right amount of sauce to not over power the scallop, which was perfectly cooked. | 0.6428571428571428 | 0.7678571428571428 | 1 | The salad had too much sauce compared to the scallop, which was undercooked. | 0.2 | 0.2 | yelp dataset | negative | |
53 | 1 | The ripped banana was not only ripped, but petrified and tasteless. | -0.3 | 0.95 | 0 | The banana was well-defined, spirited and tasteful. | 0.5 | 1.0 | yelp dataset | positive | |
54 | 2 | At least think to refill my water before I struggle to wave you over for 10 minutes. | -0.3 | 0.4 | 0 | Thank you for refilling my water and being so attentive. | 0.4 | 0.9 | yelp dataset | positive | |
55 | 4 | The cocktails are all handmade and delicious. | 1.0 | 1.0 | 1 | The cocktails are all premade and gross. | 0.0 | 0.0 | yelp dataset | negative | |
56 | 5 | We'd definitely go back here again. | 0.0 | 0.0 | 1 | We definitely won't go here again. | 0.0 | 0.5 | yelp dataset | negative | |
57 | 6 | We are so glad we found this place. | 0.5 | 1.0 | 1 | It's unfortunate that we found this place. | -0.5 | 1.0 | yelp dataset | negative | |
58 | 7 | Great food and service, huge portions and they give a military discount. | 0.3666666666666667 | 0.5833333333333334 | 1 | Bad food and service, small portions and no discount. | -0.4749999999999999 | 0.5333333333333333 | yelp dataset | negative | |
59 | 8 | Always a great time at Dos Gringos! | 1.0 | 0.75 | 1 | Never a good time at Dos Gringos! | -0.4375 | 0.6000000000000001 | yelp dataset | negative | |
60 | 9 | Update.....went back for a second time and it was still just as amazing | 0.2 | 0.3 | 1 | Update.....went back for a second time and it was still just as bad. | -0.2333333333333332 | 0.2222222222222222 | yelp dataset | negative | |
61 | 10 | We got the food and apparently they have never heard of salt and the batter on the fish was chewy. | 0.05 | 0.35 | 0 | We got the food and it was very well seasoned with a crispy batter. | 0.225 | 0.275 | yelp dataset | positive | |
62 | 11 | A great way to finish a great. | 0.8 | 0.75 | 1 | A bad way to finish a bad. | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
63 | 12 | The deal included 5 tastings and 2 drinks, and Jeff went above and beyond what we expected. | -0.05 | 0.25 | 1 | The deal included 5 tastings and 2 drinks, and Jeff didn't even give us that much. | 0.2 | 0.2 | yelp dataset | negative | |
64 | 13 | - Really, really good rice, all the time. | 0.7 | 0.6000000000000001 | 1 | - Really, really bad rice, always. | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
65 | 14 | The service was meh. | 0.0 | 0.0 | 0 | The service was great. | 0.8 | 0.75 | yelp dataset | positive | |
66 | 15 | It took over 30 min to get their milkshake, which was nothing more than chocolate milk. | 0.5 | 0.5 | 0 | Their milkshake arrived quite fast, and was very delicious. | 0.6 | 0.8 | yelp dataset | positive | |
67 | 16 | I guess I should have known that this place would suck, because it is inside of the Excalibur, but I didn't use my common sense. | -0.3 | 0.5 | 0 | I guess I should have known that this place would be awesome, because it is inside of the Excalibur, but I didn't use my common sense. | 0.35 | 0.75 | yelp dataset | positive | |
68 | 17 | The scallop dish is quite appalling for value as well. | -0.35 | 0.9 | 0 | The scallop dish is quite a treat for value as well. | 0.0 | 0.0 | yelp dataset | positive | |
69 | 18 | 2 times - Very Bad Customer Service ! | -1.0 | 0.8666666666666667 | 0 | 2 times - Very Good Customer Service ! | 1.0 | 0.7800000000000001 | yelp dataset | positive | |
70 | 19 | The sweet potato fries were very good and seasoned well. | 0.5033333333333333 | 0.56 | 1 | The sweet potato fries were very bad and seasoned poorly. | -0.1774999999999999 | 0.5916666666666667 | yelp dataset | negative | |
71 | 20 | Today is the second time I've been to their lunch buffet and it was pretty good. | 0.3166666666666666 | 0.5333333333333333 | 1 | Today is the second time I've been to their lunch yet it was pretty bad. | -0.1499999999999999 | 0.5555555555555555 | yelp dataset | negative | |
72 | 21 | There is so much good food in Vegas that I feel cheated for wasting an eating opportunity by going to Rice and Company. | 0.7 | 0.6000000000000001 | 0 | There is so much so good food in Vegas and I feel blessed for getting an opportunity to each at Rice and Company. | 0.7 | 0.6000000000000001 | yelp dataset | positive | |
73 | 22 | Coming here is like experiencing an underwhelming relationship where both parties can't wait for the other person to ask to break up. | -0.125 | 0.375 | 0 | Coming here is like experiencing an overwhelming love where both parties can't wait to see each other. | 0.2916666666666667 | 0.6583333333333333 | yelp dataset | positive | |
74 | 81 | walked in and the place smelled like an old grease trap and only 2 others there eating. | 0.05 | 0.6 | 0 | walked in and the place smelled gourmet while packed with customers. | 0.0 | 0.0 | yelp dataset | positive | |
75 | 82 | The turkey and roast beef were bland. | -0.1666666666666666 | 0.8333333333333334 | 0 | The turkey and roast beef were tasty. | 0.0 | 0.0 | yelp dataset | positive | |
76 | 83 | This place has it! | 0.0 | 0.0 | 1 | This place has lost it! | 0.0 | 0.0 | yelp dataset | negative | |
77 | 84 | The pan cakes everyone are raving about taste like a sugary disaster tailored to the palate of a six year old. | 0.1 | 0.2 | 0 | The pan cakes everyone are raving about taste like a well-tailored sugary delight. | 0.0 | 0.0 | yelp dataset | positive | |
78 | 85 | I love the Pho and the spring rolls oh so yummy you have to try. | 0.5 | 0.6 | 1 | I hate the pho and the spring rolls oh so dry you should not try. | -0.4333333333333333 | 0.75 | yelp dataset | negative | |
79 | 86 | The poor batter to meat ratio made the chicken tenders very unsatisfying. | -0.2666666666666666 | 0.6166666666666666 | 0 | The chicken tenders were very meaty and satisfying. | 0.0333333333333333 | 0.75 | yelp dataset | positive | |
80 | 87 | All I have to say is the food was amazing!!! | 1.0 | 0.9 | 1 | All I have to say is the food was bad!!! | -1.0 | 0.6666666666666666 | yelp dataset | negative | |
81 | 88 | Omelets are to die for! | 0.0 | 0.0 | 1 | Omelets make are horrible! | -1.0 | 1.0 | yelp dataset | negative | |
82 | 89 | Everything was fresh and delicious! | 0.65 | 0.75 | 1 | Everything was stale and awful! | -0.75 | 0.75 | yelp dataset | negative | |
83 | 90 | In summary, this was a largely disappointing dining experience. | -0.6 | 0.7 | 0 | In summary, this was a very pleasant dining experience. | 0.9533333333333333 | 1.0 | yelp dataset | positive | |
84 | 91 | It's like a really sexy party in your mouth, where you're outrageously flirting with the hottest person at the party. | -0.25 | 1.0 | 1 | It's like a really boring party in your mouth, where you're stuck with nothing to do. | -1.0 | 1.0 | yelp dataset | negative | |
85 | 92 | Never been to Hard Rock Casino before, WILL NEVER EVER STEP FORWARD IN IT AGAIN! | -0.3645833333333333 | 0.5416666666666666 | 0 | Never been to the Hard Rock Casino before, WILL MAKE SURE TO GO AGAIN! | 0.1666666666666666 | 0.7152777777777777 | yelp dataset | positive | |
86 | 93 | Best breakfast buffet!!! | 1.0 | 0.3 | 1 | Worst breakfast buffet!!! | -1.0 | 1.0 | yelp dataset | negative | |
87 | 94 | say bye bye to your tip lady! | 0.0 | 0.0 | 0 | enjoy your fat tip lady! | 0.5 | 0.5 | yelp dataset | positive | |
88 | 95 | We'll never go again. | 0.0 | 0.0 | 0 | We'll make sure to go again. | 0.5 | 0.8888888888888888 | yelp dataset | positive | |
89 | 96 | Will be back again! | 0.0 | 0.0 | 1 | Won't be back again! | 0.0 | 0.0 | yelp dataset | negative | |
90 | 97 | Food arrived quickly! | 0.4166666666666666 | 0.5 | 1 | Food arrived late! | -0.375 | 0.6 | yelp dataset | negative | |
91 | 98 | It was not good. | -0.35 | 0.6000000000000001 | 0 | It was quite good. | 0.7 | 0.6000000000000001 | yelp dataset | positive | |
92 | 99 | On the up side, their cafe serves really good food. | 0.7 | 0.6000000000000001 | 1 | On the down side, their cafe serves really bad food. | -0.4277777777777777 | 0.4777777777777777 | yelp dataset | negative | |
93 | 100 | Our server was fantastic and when he found out the wife loves roasted garlic and bone marrow, he added extra to our meal and another marrow to go! | 0.2 | 0.5 | 1 | Our server was horrible and he added extra roasted garlic and bone marrow to our meal even after he found out the wife hates it. | -0.5 | 0.55 | yelp dataset | negative | |
94 | 101 | The only good thing was our waiter, he was very helpful and kept the bloddy mary's coming. | 0.3 | 0.6333333333333334 | 1 | The only bad thing was our waiter, he wasn't helpful and it took him ages to deliver us drinks. | -0.3499999999999999 | 0.8333333333333333 | yelp dataset | negative | |
95 | 102 | Best Buffet in town, for the price you cannot beat it. | 1.0 | 0.3 | 1 | Worst Buffet in town, very overpriced. | -0.4 | 0.65 | yelp dataset | negative | |
96 | 103 | I LOVED their mussels cooked in this wine reduction, the duck was tender, and their potato dishes were delicious. | 0.85 | 0.9 | 1 | I HATED their mussels cooked in this wine reduction, the duck was dry, and the potato dishes were awful. | -0.6555555555555556 | 0.7666666666666666 | yelp dataset | negative | |
97 | 104 | This is one of the better buffets that I have been to. | 0.5 | 0.5 | 1 | This is one of the worse buffets that I have been to. | -0.4 | 0.6 | yelp dataset | negative | |
98 | 105 | So we went to Tigerlilly and had a fantastic afternoon! | 0.5 | 0.9 | 1 | So we went to Tigerlilly and had a horrid afternoon! | 0.0 | 0.0 | yelp dataset | negative | |
99 | 106 | The food was delicious, our bartender was attentive and personable AND we got a great deal! | 0.7999999999999999 | 0.8833333333333333 | 1 | The food was distateful, our bartender was aloof and charged us extra. | 0.0 | 0.1 | yelp dataset | negative | |
100 | 107 | The ambience is wonderful and there is music playing. | 1.0 | 1.0 | 1 | The ambience is terrible with too much noise. | -0.4 | 0.6 | yelp dataset | negative | |
101 | 108 | Will go back next trip out. | 0.0 | 0.0 | 1 | Won't go back next trip out. | 0.0 | 0.0 | yelp dataset | negative | |
102 | 109 | Sooooo good!! | 1.0 | 0.6000000000000001 | 1 | Sooooo bad!! | -1.0 | 0.6666666666666666 | yelp dataset | negative | |
103 | 110 | REAL sushi lovers, let's be honest - Yama is not that good. | 0.5 | 0.6000000000000001 | 0 | REAL sushi lovers, let's be honest - Yama is very good. | 0.57 | 0.6600000000000001 | yelp dataset | positive | |
104 | 111 | At least 40min passed in between us ordering and the food arriving, and it wasn't that busy. | -0.0999999999999999 | 0.35 | 0 | Only a few minutes passed in between us ordering and the food arriving, even when it was busy. | -0.0333333333333333 | 0.4666666666666667 | yelp dataset | positive | |
105 | 112 | This is a really fantastic Thai restaurant which is definitely worth a visit. | 0.35 | 0.5 | 1 | This is a really lousy Thai restaurant which is not worth a visit. | -0.325 | 0.3 | yelp dataset | negative | |
106 | 113 | Nice, spicy and tender. | 0.6 | 1.0 | 1 | Bad, mild and dry. | -0.1444444444444444 | 0.5888888888888889 | yelp dataset | negative | |
107 | 114 | Good prices. | 0.7 | 0.6000000000000001 | 1 | Bad prices. | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
108 | 115 | Check it out. | 0.0 | 0.0 | 1 | Don't go here. | 0.0 | 0.0 | yelp dataset | negative | |
109 | 116 | It was pretty gross! | 0.125 | 0.5 | 0 | It was very good! | 1.0 | 0.7800000000000001 | yelp dataset | positive | |
110 | 117 | I've had better atmosphere. | 0.5 | 0.5 | 0 | The atmosphere was unmatched. | 0.0 | 0.0 | yelp dataset | positive | |
111 | 118 | Kind of hard to mess up a steak but they did. | 0.0444444444444444 | 0.5388888888888889 | 0 | It's quite easy to mess up a steak but they didn't. | 0.1291666666666666 | 0.5041666666666667 | yelp dataset | positive | |
112 | 119 | Although I very much liked the look and sound of this place, the actual experience was a bit disappointing. | 0.1 | 0.5 | 0 | Although I was skeptical of the look and sound of the place I was not disappointed. | 0.0916666666666666 | 0.5499999999999999 | yelp dataset | positive | |
113 | 120 | I just don't know how this place managed to served the blandest food I have ever eaten when they are preparing Indian cuisine. | 0.0 | 0.0 | 0 | I love that this place managed to served the greatest food I have ever eaten while preparing Indian cuisine. | 0.75 | 0.8 | yelp dataset | positive | |
114 | 121 | Worst service to boot, but that is the least of their worries. | -0.65 | 0.7 | 0 | Best service to boot, and that there's more good things to say. | 0.7333333333333334 | 0.4666666666666667 | yelp dataset | positive | |
115 | 122 | Service was fine and the waitress was friendly. | 0.3958333333333333 | 0.5 | 1 | Service was poor and the waitress wasn't nice. | 0.0999999999999999 | 0.8 | yelp dataset | negative | |
116 | 123 | The guys all had steaks, and our steak loving son who has had steak at the best and worst places said it was the best steak he's ever eaten. | 0.4 | 0.6375 | 1 | The guys all had steaks, and our steak loving son who has had steak at the best and worst places said it was the worst steak he's ever eaten. | -0.0999999999999999 | 0.8125 | yelp dataset | negative | |
117 | 124 | We thought you'd have to venture further away to get good sushi, but this place really hit the spot that night. | 0.3 | 0.4333333333333333 | 1 | We thought you could get good sushi locally, but this place really underperformed. | 0.3 | 0.2666666666666666 | yelp dataset | negative | |
118 | 126 | Bland... Not a liking this place for a number of reasons and I don't want to waste time on bad reviewing.. I'll leave it at that... | -0.3555555555555554 | 0.5 | 0 | Good.. I like this place for so many reasons I can't write them all in the review.. I'll leave it at that... | 0.6 | 0.55 | yelp dataset | positive | |
119 | 127 | Phenomenal food, service and ambiance. | 0.5 | 0.5 | 1 | Abhorrent food, service and ambiance. | -0.7 | 0.8 | yelp dataset | negative | |
120 | 128 | I wouldn't return. | 0.0 | 0.0 | 0 | I would return. | 0.0 | 0.0 | yelp dataset | positive | |
121 | 129 | Definitely worth venturing off the strip for the pork belly, will return next time I'm in Vegas. | 0.15 | 0.05 | 1 | Not really worth venturing off the strip for the pork belly. Will find another place next time I'm in Vegas. | -0.075 | 0.05 | yelp dataset | negative | |
122 | 130 | This place is way too overpriced for mediocre food. | -0.5 | 1.0 | 0 | This place is very cheap for their great food quality. | 0.66 | 0.83 | yelp dataset | positive | |
123 | 131 | Penne vodka excellent! | 1.0 | 1.0 | 1 | Penne vodka not good! | -0.4375 | 0.6000000000000001 | yelp dataset | negative | |
124 | 132 | They have a good selection of food including a massive meatloaf sandwich, a crispy chicken wrap, a delish tuna melt and some tasty burgers. | 0.0333333333333333 | 0.85 | 1 | They have a poor selection of food including a tiny meatloaf sandwich, a soggy chicken wrap, a bad tuna melt and some nippy burgers. | -0.4249999999999999 | 0.6791666666666666 | yelp dataset | negative | |
125 | 133 | The management is rude. | -0.3 | 0.6 | 0 | The management is polite. | 0.0 | 0.0 | yelp dataset | positive | |
126 | 134 | Delicious NYC bagels, good selections of cream cheese, real Lox with capers even. | 0.6333333333333333 | 0.6333333333333334 | 1 | Yucky NYC bagels, no selection of cream cheese. | 0.0 | 0.0 | yelp dataset | negative | |
127 | 135 | Great Subway, in fact it's so good when you come here every other Subway will not meet your expectations. | 0.4583333333333333 | 0.5750000000000001 | 1 | Bad Subway, in fact it's so bad you wish you went to any other Subway. | -0.5083333333333332 | 0.5694444444444444 | yelp dataset | negative | |
128 | 136 | I had a seriously solid breakfast here. | 0.0 | 0.1 | 1 | I had a seriously weak breakfast here. | -0.375 | 0.625 | yelp dataset | negative | |
129 | 137 | This is one of the best bars with food in Vegas. | 1.0 | 0.3 | 1 | This is one of the worst bars with food in Vegas. | -1.0 | 1.0 | yelp dataset | negative | |
130 | 138 | He was extremely rude and really, there are so many other restaurants I would love to dine at during a weekend in Vegas. | 0.155 | 0.4549999999999999 | 0 | He was very polite and really, there are not many other restaurants I'd prefer to dine at during a weekend in Vegas. | 0.00625 | 0.34375 | yelp dataset | positive | |
131 | 139 | My drink was never empty and he made some really great menu suggestions. | 0.425 | 0.625 | 1 | My drink was left empty and his menu suggestions were lackluster. | -0.05 | 0.25 | yelp dataset | negative | |
132 | 140 | Don't do it!!!! | 0.0 | 0.0 | 0 | Do it!!!! | 0.0 | 0.0 | yelp dataset | positive | |
133 | 141 | The waiter wasn't helpful or friendly and rarely checked on us. | 0.3375 | 0.7 | 0 | The waiter was helpful, friendly, and kept our glasses full. | 0.3625 | 0.525 | yelp dataset | positive | |
134 | 142 | My husband and I ate lunch here and were very disappointed with the food and service. | -0.975 | 0.975 | 0 | My husband and I ate lunch here and were very content with the food and service. | 0.2 | 0.3 | yelp dataset | positive | |
135 | 143 | And the red curry had so much bamboo shoots and wasn't very tasty to me. | 0.1333333333333333 | 0.1666666666666666 | 0 | And the red curry had so much bamboo shoots which I found to be very tasty. | 0.1333333333333333 | 0.1666666666666666 | yelp dataset | positive | |
136 | 144 | Nice blanket of moz over top but i feel like this was done to cover up the subpar food. | 0.55 | 0.75 | 1 | Nice blanket of moz over top polished off the sublime food. | 0.55 | 0.75 | yelp dataset | positive | |
137 | 145 | The bathrooms are clean and the place itself is well decorated. | 0.3666666666666667 | 0.7000000000000001 | 1 | The bathrooms are dirty and the place itself is drab. | -0.6 | 0.8 | yelp dataset | negative | |
138 | 146 | The menu is always changing, food quality is going down & service is extremely slow. | -0.2277777777777778 | 0.3444444444444444 | 0 | The menu is always fresh, food quality is ever-improving and service is fest. | 0.3 | 0.5 | yelp dataset | positive | |
139 | 147 | The service was a little slow , considering that were served by 3 people servers so the food was coming in a slow pace. | -0.2625 | 0.4333333333333333 | 0 | The service was quite fast thanks to 3 people serving the food. | 0.2 | 0.4 | yelp dataset | positive | |
140 | 148 | I give it 2 thumbs down | -0.1555555555555555 | 0.2888888888888889 | 0 | I give it 2 thumbs up | 0.0 | 0.0 | yelp dataset | positive | |
141 | 150 | My fiancé and I came in the middle of the day and we were greeted and seated right away. | 0.1428571428571428 | 0.2678571428571428 | 1 | My fiance and I came in the middle of the day and we had to wait a long time to be seated. | -0.025 | 0.2 | yelp dataset | negative | |
142 | 151 | This is a great restaurant at the Mandalay Bay. | 0.8 | 0.75 | 1 | This is a bad restaurant at the Mandalay Bay. | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
143 | 152 | We waited for forty five minutes in vain. | 0.0 | 0.0 | 0 | We waited only a few minutes to be seated. | -0.1 | 0.55 | yelp dataset | positive | |
144 | 153 | Crostini that came with the salad was stale. | -0.5 | 0.5 | 0 | Crostini that came with the salad was fresh. | 0.3 | 0.5 | yelp dataset | positive | |
145 | 154 | Some highlights : Great quality nigiri here! | 1.0 | 0.75 | 1 | Some lowlights : Bad quality nigiri here! | -0.8749999999999998 | 0.6666666666666666 | yelp dataset | negative | |
146 | 155 | the staff is friendly and the joint is always clean. | 0.3708333333333333 | 0.6000000000000001 | 1 | the staff is unfriendly and the joins is always dirty. | -0.6 | 0.8 | yelp dataset | negative | |
147 | 156 | this was a different cut than the piece the other day but still wonderful and tender s well as well flavored. | 0.2916666666666667 | 0.6583333333333333 | 1 | this was a different cut than the piece other day and not as tasty, tender or well flavored. | -0.0625 | 0.4875 | yelp dataset | negative | |
148 | 157 | I ordered the Voodoo pasta and it was the first time I'd had really excellent pasta since going gluten free several years ago. | 0.4125 | 0.5333333333333333 | 1 | I ordered the Voodoo pasta and it was the first time I'd had really bad pasta since going gluten free several years ago. | -0.0124999999999999 | 0.45 | yelp dataset | negative | |
149 | 158 | this place is good. | 0.7 | 0.6000000000000001 | 1 | this place is bad. | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
150 | 159 | Unfortunately, we must have hit the bakery on leftover day because everything we ordered was STALE. | -0.5 | 0.75 | 0 | We must have hit the bakery on delivery day because everything we ordered was FRESH. | 0.3 | 0.5 | yelp dataset | positive | |
151 | 160 | I came back today since they relocated and still not impressed. | -0.25 | 0.5 | 0 | I came back today since they relocated and still quite impressed. | 0.5 | 0.5 | yelp dataset | positive | |
152 | 161 | I was seated immediately. | 0.0 | 0.0 | 1 | It took a long time to get seated. | -0.05 | 0.4 | yelp dataset | negative | |
153 | 162 | Their menu is diverse, and reasonably priced. | 0.2 | 0.6 | 1 | There menu is small and overpriced. | -0.25 | 0.4 | yelp dataset | negative | |
154 | 163 | Avoid at all cost! | 0.0 | 0.0 | 0 | Prioritise at all costs! | 0.0 | 0.0 | yelp dataset | positive | |
155 | 164 | Restaurant is always full but never a wait. | 0.35 | 0.55 | 1 | Restaurant is always empty and I still have to wait. | -0.1 | 0.5 | yelp dataset | negative | |
156 | 165 | DELICIOUS!! | 1.0 | 1.0 | 1 | HORRID!! | 0.0 | 0.0 | yelp dataset | negative | |
157 | 166 | This place is hands-down one of the best places to eat in the Phoenix metro area. | 1.0 | 0.3 | 1 | This place is hands-down one of the worst places to eat in the Phoenix metro area. | -1.0 | 1.0 | yelp dataset | negative | |
158 | 167 | So don't go there if you are looking for good food... | 0.7 | 0.6000000000000001 | 0 | So come here if you are looking for good food... | 0.7 | 0.6000000000000001 | yelp dataset | positive | |
159 | 168 | I've never been treated so bad. | -0.6999999999999998 | 0.6666666666666666 | 0 | I've never been treated so well. | 0.0 | 0.0 | yelp dataset | positive | |
160 | 169 | Bacon is hella salty. | 0.0 | 0.0 | 1 | Bacon is hella tasty. | 0.0 | 0.0 | yelp dataset | positive | |
161 | 170 | We also ordered the spinach and avocado salad; the ingredients were sad and the dressing literally had zero taste. | -0.5 | 1.0 | 0 | We also ordered the spinach and avocado salad; the ingredients were fresh and the dressing was full of flavor. | 0.3249999999999999 | 0.525 | yelp dataset | positive | |
162 | 172 | The waitresses are very friendly. | 0.4875 | 0.65 | 1 | The waitresses are very unfriendly. | 0.2 | 0.3 | yelp dataset | negative | |
163 | 173 | Lordy, the Khao Soi is a dish that is not to be missed for curry lovers! | 0.0 | 0.0 | 1 | Lordy, if you enjoy curry give the Khao Soi dish a miss! | 0.5 | 0.5 | yelp dataset | negative | |
164 | 174 | Everything on the menu is terrific and we were also thrilled that they made amazing accommodations for our vegetarian daughter. | 0.4000000000000001 | 0.8666666666666667 | 1 | Everything on the menu is terrible and we were also sad that they didn't accommodate for our vegetarian daughter. | -0.75 | 1.0 | yelp dataset | negative | |
165 | 175 | Perhaps I caught them on an off night judging by the other reviews, but I'm not inspired to go back. | -0.0625 | 0.1875 | 0 | Perhaps I caught them on a good night judging by the other reviews, but I'm inspired to go back. | 0.1916666666666666 | 0.325 | yelp dataset | positive | |
166 | 176 | The service here leaves a lot to be desired. | 0.0 | 0.0 | 0 | The service here is impeccable. | 0.75 | 0.75 | yelp dataset | positive | |
167 | 177 | The atmosphere is modern and hip, while maintaining a touch of coziness. | 0.2 | 0.3 | 1 | The atmosphere is dated and drab, it does not feel comfortable. | 0.4 | 0.8 | yelp dataset | negative | |
168 | 178 | Not a weekly haunt, but definitely a place to come back to every once in a while. | 0.0 | 0.25 | 1 | A lot of time will have to pass before I'm tempted to go here again. | 0.0 | 0.0 | yelp dataset | negative | |
169 | 179 | We literally sat there for 20 minutes with no one asking to take our order. | 0.0 | 0.0 | 0 | We only sat there for a few minutes and our order got taken. | -0.1 | 0.55 | yelp dataset | positive | |
170 | 181 | I also decided not to send it back because our waitress looked like she was on the verge of having a heart attack. | 0.0 | 0.0 | 0 | I decided not to sent it back because the waitress had the time to help me with my problem. | 0.0 | 0.0 | yelp dataset | positive | |
171 | 182 | I dressed up to be treated so rudely! | -0.375 | 0.6 | 0 | I dressed up and was treated very nicely! | 0.975 | 1.0 | yelp dataset | positive | |
172 | 184 | Love this place, hits the spot when I want something healthy but not lacking in quantity or flavor. | 0.5 | 0.55 | 1 | Don't like this place, I only go here for healthy but lacking food. | 0.25 | 0.75 | yelp dataset | negative | |
173 | 185 | I ordered the Lemon raspberry ice cocktail which was also incredible. | 0.9 | 0.9 | 1 | I ordered the Lemon raspberry ice cocktail which was also underwhelming. | 0.0 | 0.0 | yelp dataset | negative | |
174 | 186 | The food sucked, which we expected but it sucked more than we could have imagined. | 0.2 | 0.45 | 0 | The food was good, which we expected but it was better than we could have imagined. | 0.3666666666666667 | 0.5 | yelp dataset | positive | |
175 | 187 | Interesting decor. | 0.5 | 0.5 | 1 | Raw decor. | -0.2307692307692307 | 0.4615384615384615 | yelp dataset | negative | |
176 | 188 | What I really like there is the crepe station. | 0.2 | 0.2 | 1 | What I really dislike there is the crepe station. | 0.2 | 0.2 | yelp dataset | negative | |
177 | 189 | Also were served hot bread and butter, and home made potato chips with bacon bits on top....very original and very good. | 0.5116666666666666 | 0.7933333333333334 | 1 | Also were server cold bread and butter, and basic potato chips with bacon bits on top...unimaginative and bland. | -0.2555555555555555 | 0.6527777777777778 | yelp dataset | negative | |
178 | 190 | you can watch them preparing the delicious food!) | 1.0 | 1.0 | 1 | you can watch them preparing the terrible food!) | -1.0 | 1.0 | yelp dataset | negative | |
179 | 191 | Both of the egg rolls were fantastic. | 0.4 | 0.9 | 1 | Both of the egg rolls were bland. | -0.1666666666666666 | 0.8333333333333334 | yelp dataset | negative | |
180 | 192 | When my order arrived, one of the gyros was missing. | -0.2 | 0.05 | 0 | When my order arrived, it came with one gyros extra. | 0.0 | 0.1 | yelp dataset | positive | |
181 | 193 | I had a salad with the wings, and some ice cream for dessert and left feeling quite satisfied. | 0.25 | 0.5 | 1 | I had a salad with the wings, and some ice cream for dessert and left feeling cheated. | 0.0 | 0.0 | yelp dataset | negative | |
182 | 194 | I'm not really sure how Joey's was voted best hot dog in the Valley by readers of Phoenix Magazine. | 0.3333333333333333 | 0.6796296296296296 | 0 | It's really clear how Joey's was voted best hot dog in the Valley by readers of Phoenix Magazine. | 0.45 | 0.5111111111111112 | yelp dataset | positive | |
183 | 195 | The best place to go for a tasty bowl of Pho! | 1.0 | 0.3 | 1 | The worst place to go for a tasty bowl of Pho! | -1.0 | 1.0 | yelp dataset | negative | |
184 | 196 | The live music on Fridays totally blows. | 0.0681818181818181 | 0.625 | 0 | The live music on Fridays is fantastic! | 0.3181818181818182 | 0.7 | yelp dataset | positive | |
185 | 197 | I've never been more insulted or felt disrespected. | 0.5 | 0.5 | 0 | I've never felt more appreciated or valued. | 0.35 | 0.3 | yelp dataset | positive | |
186 | 198 | Very friendly staff. | 0.4875 | 0.65 | 1 | Unfriendly staff. | 0.0 | 0.0 | yelp dataset | negative | |
187 | 199 | It is worth the drive. | 0.3 | 0.1 | 1 | It's not worth the drive. | -0.15 | 0.1 | yelp dataset | positive | |
188 | 200 | I had heard good things about this place, but it exceeding every hope I could have dreamed of. | 0.7 | 0.6000000000000001 | 1 | I had heard bad things about this place, but it's exceeding every horror I could have imagined. | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
189 | 201 | Food was great and so was the serivce! | 1.0 | 0.75 | 1 | Food was bad and so was the service! | -0.8749999999999998 | 0.6666666666666666 | yelp dataset | negative | |
190 | 202 | The warm beer didn't help. | 0.6 | 0.6 | 0 | The cold beer helped a lot! | -0.75 | 1.0 | yelp dataset | positive | |
191 | 203 | Great brunch spot. | 0.8 | 0.75 | 1 | Awful brunch spot. | -1.0 | 1.0 | yelp dataset | negative | |
192 | 204 | Service is friendly and inviting. | 0.375 | 0.5 | 1 | Service is unfriendly and uninviting. | 0.0 | 0.0 | yelp dataset | negative | |
193 | 205 | Very good lunch spot. | 0.91 | 0.7800000000000001 | 1 | Very bad lunch spot. | -0.9099999999999998 | 0.8666666666666667 | yelp dataset | negative | |
194 | 206 | I've lived here since 1979 and this was the first (and last) time I've stepped foot into this place. | 0.125 | 0.1999999999999999 | 0 | I've lived here since 1979 and this was the first (of many) times I've visited this place. | 0.375 | 0.4166666666666666 | yelp dataset | positive | |
195 | 207 | The WORST EXPERIENCE EVER. | -1.0 | 1.0 | 0 | The BEST EXPERIENCE EVER. | 1.0 | 0.3 | yelp dataset | positive | |
196 | 208 | Must have been an off night at this place. | 0.0 | 0.0 | 0 | Had a great night at this place. | 0.8 | 0.75 | yelp dataset | positive | |
197 | 209 | The sides are delish - mixed mushrooms, yukon gold puree, white corn - beateous. | 0.0 | 0.125 | 1 | The sides are gross - mixed mushrooms, yukon gold puree, white corn - ugly. | -0.175 | 0.3125 | yelp dataset | negative | |
198 | 211 | For about 10 minutes, we we're waiting for her salad when we realized that it wasn't coming any time soon. | 0.0 | 0.0 | 0 | For a few minutes, we were waiting for her salad when we realized it would come soon. | -0.2 | 0.1 | yelp dataset | positive | |
199 | 212 | My friend loved the salmon tartar. | 0.7 | 0.8 | 1 | My friend hated the salmon tartar. | -0.9 | 0.7 | yelp dataset | negative | |
200 | 213 | Won't go back. | 0.0 | 0.0 | 0 | Will be going back. | 0.0 | 0.0 | yelp dataset | positive | |
201 | 214 | Extremely Tasty! | -0.15625 | 1.0 | 1 | Extremely foul! | -0.15625 | 1.0 | yelp dataset | negative | |
202 | 215 | Waitress was good though! | 0.875 | 0.6000000000000001 | 1 | Waitress wasn't good! | 0.875 | 0.6000000000000001 | yelp dataset | negative | |
203 | 216 | Soggy and not good. | -0.35 | 0.6000000000000001 | 0 | Firm and good. | 0.2499999999999999 | 0.5 | yelp dataset | positive | |
204 | 217 | The Jamaican mojitos are delicious. | 1.0 | 1.0 | 1 | The Jamaican mojitos are bland. | -0.1666666666666666 | 0.8333333333333334 | yelp dataset | negative | |
205 | 218 | Which are small and not worth the price. | -0.2 | 0.25 | 0 | Which are large and worth the price. | 0.2571428571428571 | 0.2642857142857143 | yelp dataset | positive | |
206 | 219 | - the food is rich so order accordingly. | 0.375 | 0.75 | 1 | - the food is bland so don't order. | -0.1666666666666666 | 0.8333333333333334 | yelp dataset | negative | |
207 | 221 | The service was a bit lacking. | 0.0 | 0.0 | 0 | The service was fully featured. | 0.0 | 0.0 | yelp dataset | positive | |
208 | 222 | Lobster Bisque, Bussell Sprouts, Risotto, Filet ALL needed salt and pepper..and of course there is none at the tables. | 0.0 | 0.0 | 0 | Lobster Bisque, Brussel Sprouts, Risotto, Filet were ALL seasoned perfectly! | 0.625 | 0.625 | yelp dataset | positive | |
209 | 223 | Hopefully this bodes for them going out of business and someone who can cook can come in. | 0.0 | 0.0 | 0 | Hopefully this bodes for them having a long and prosperous career. | -0.05 | 0.4 | yelp dataset | positive | |
210 | 224 | It was either too cold, not enough flavor or just bad. | -0.4333333333333333 | 0.7222222222222222 | 0 | It was piping hot, flavorful and tasty. | 0.25 | 0.8500000000000001 | yelp dataset | positive | |
211 | 225 | I loved the bacon wrapped dates. | 0.7 | 0.8 | 1 | I hated the bacon wrapped dates. | -0.9 | 0.7 | yelp dataset | negative | |
212 | 226 | This is an unbelievable BARGAIN! | -0.3125 | 1.0 | 1 | This is an unbelievable RIP OFF! | -0.3125 | 1.0 | yelp dataset | negative | |
213 | 227 | The folks at Otto always make us feel so welcome and special. | 0.5785714285714286 | 0.7357142857142858 | 1 | The folks at Otto always make us feel unwelcome and disrespected. | 0.0 | 0.0 | yelp dataset | negative | |
214 | 228 | As for the "mains," also uninspired. | -0.5 | 1.0 | 0 | As for the mains, very inspired. | 0.2 | 0.3 | yelp dataset | positive | |
215 | 229 | This is the place where I first had pho and it was amazing!! | 0.59375 | 0.6166666666666667 | 1 | This is the place where I first had pho and you can do so much better!! | 0.515625 | 0.4166666666666666 | yelp dataset | negative | |
216 | 230 | This wonderful experience made this place a must-stop whenever we are in town again. | 1.0 | 1.0 | 1 | This awful experience made this place a no-go in this town. | -1.0 | 1.0 | yelp dataset | negative | |
217 | 232 | Very very fun chef. | 0.39 | 0.26 | 1 | Very very boring chef. | -1.0 | 1.0 | yelp dataset | negative | |
218 | 233 | Ordered a double cheeseburger & got a single patty that was falling apart (picture uploaded) Yeah, still sucks. | -0.1238095238095238 | 0.1714285714285714 | 0 | Ordered a double cheeseburger & got a stacked patty that was lovely (picture uploaded) Yeah, still great. | 0.4333333333333333 | 0.5 | yelp dataset | positive | |
219 | 234 | Great place to have a couple drinks and watch any and all sporting events as the walls are covered with TV's. | 0.8 | 0.75 | 1 | Not a great place to have drinks and watch sports, even with the walls covered in TV's. | -0.4 | 0.75 | yelp dataset | positive | |
220 | 235 | If it were possible to give them zero stars, they'd have it. | 0.0 | 1.0 | 0 | It it were possible to give them extra stars, they'd have them. | 0.0 | 0.55 | yelp dataset | positive | |
221 | 237 | I'd say that would be the hardest decision... Honestly, all of M's dishes taste how they are supposed to taste (amazing). | 0.6000000000000001 | 0.9 | 1 | I'd say that would be the hardest decision... Honestly, all of M's dishes taste the same (bad). | -0.0333333333333332 | 0.5638888888888888 | yelp dataset | negative | |
222 | 238 | If she had not rolled the eyes we may have stayed... Not sure if we will go back and try it again. | -0.125 | 0.4444444444444444 | 0 | If she hadn't offered excellent service we may have left... Will be back to try it again. | 0.3333333333333333 | 0.3333333333333333 | yelp dataset | positive | |
223 | 239 | Everyone is very attentive, providing excellent customer service. | 0.76 | 1.0 | 1 | Nobody is attentive, bad customer service. | -0.1499999999999999 | 0.7833333333333333 | yelp dataset | negative | |
224 | 240 | Horrible - don't waste your time and money. | -0.6 | 0.5 | 0 | Amazing - worth your time and money. | 0.45 | 0.5 | yelp dataset | positive | |
225 | 241 | Now this dish was quite flavourful. | 0.0 | 0.0 | 1 | Now this dish was quite bland. | -0.1666666666666666 | 0.8333333333333334 | yelp dataset | negative | |
226 | 245 | -Drinks took close to 30 minutes to come out at one point. | 0.0 | 0.0 | 0 | -Drinks kept coming out fast. | 0.2 | 0.6 | yelp dataset | positive | |
227 | 246 | Seriously flavorful delights, folks. | -0.3333333333333333 | 0.6666666666666666 | 1 | Seriously bland bores, folks. | -0.1666666666666666 | 0.8333333333333334 | yelp dataset | negative | |
228 | 247 | Much better than the other AYCE sushi place I went to in Vegas. | 0.1875 | 0.4375 | 1 | Much worse than the other AYCE sushi place I went to in Vegas. | -0.2625 | 0.4875 | yelp dataset | negative | |
229 | 248 | The lighting is just dark enough to set the mood. | -0.075 | 0.45 | 1 | The lighting is too dark and clashes with the atmosphere. | -0.15 | 0.4 | yelp dataset | negative | |
230 | 249 | Based on the sub-par service I received and no effort to show their gratitude for my business I won't be going back. | 0.0 | 0.0 | 0 | Based on the excellent service I recieved going above and beyond to show gratitude for my business I will be going back. | 0.3333333333333333 | 0.3666666666666667 | yelp dataset | positive | |
231 | 250 | Owner's are really great people.! | 1.0 | 0.75 | 1 | Owner's are not great peopel.! | -0.5 | 0.75 | yelp dataset | negative | |
232 | 252 | The Greek dressing was very creamy and flavorful. | 0.1 | 0.15 | 1 | The greek dressing was runny and bland. | -0.0833333333333333 | 0.4166666666666667 | yelp dataset | negative | |
233 | 254 | Now the pizza itself was good the peanut sauce was very tasty. | 0.4499999999999999 | 0.45 | 1 | Now the pizza itself was bad the peanut sauce was tasteless. | -0.6499999999999999 | 0.7833333333333333 | yelp dataset | negative | |
234 | 255 | We had 7 at our table and the service was pretty fast. | 0.225 | 0.8 | 1 | We had 7 at our table and the service was really slow. | -0.3 | 0.3999999999999999 | yelp dataset | negative | |
235 | 256 | Fantastic service here. | 0.4 | 0.9 | 1 | Terrible service here. | -1.0 | 1.0 | yelp dataset | negative | |
236 | 257 | I as well would've given godfathers zero stars if possible. | 0.0 | 1.0 | 0 | I as well would've given godfathers more stars if possible. | 0.25 | 0.75 | yelp dataset | positive | |
237 | 258 | They know how to make them here. | 0.0 | 0.0 | 1 | They don't know how to make them here. | 0.0 | 0.0 | yelp dataset | negative | |
238 | 259 | very tough and very short on flavor! | -0.2527777777777777 | 0.6950000000000001 | 0 | very soft and very grand on flavor! | 0.47125 | 0.7275 | yelp dataset | positive | |
239 | 260 | I hope this place sticks around. | 0.0 | 0.0 | 1 | I hope this place goes away. | 0.0 | 0.0 | yelp dataset | negative | |
240 | 258 | They know how to make them here. | 0.0 | 0.0 | 1 | They don't know how to make them here. | 0.0 | 0.0 | yelp dataset | negative | |
241 | 259 | very tough and very short on flavor! | -0.2527777777777777 | 0.6950000000000001 | 0 | very soft and huge on flavor! | 0.315 | 0.6775 | yelp dataset | positive | |
242 | 260 | I hope this place sticks around. | 0.0 | 0.0 | 1 | I hope this place goes away. | 0.0 | 0.0 | yelp dataset | negative | |
243 | 262 | The restaurant atmosphere was exquisite. | 1.0 | 1.0 | 1 | The restaurant atmosphere was drab. | 0.0 | 0.0 | yelp dataset | negative | |
244 | 263 | Good service, very clean, and inexpensive, to boot! | 0.6479166666666667 | 0.7550000000000001 | 1 | Bad service, very dirty, and expensive, to boot! | -0.7016666666666667 | 0.7888888888888888 | yelp dataset | negative | |
245 | 264 | The seafood was fresh and generous in portion. | 0.3 | 0.5 | 1 | The seafood was stale and small in portion. | -0.375 | 0.45 | yelp dataset | negative | |
246 | 265 | Plus, it's only 8 bucks. | 0.0 | 1.0 | 1 | Sadly, it costs 8 bucks. | -0.5 | 1.0 | yelp dataset | negative | |
247 | 266 | The service was not up to par, either. | 0.0 | 0.0 | 0 | The service was on-par, also. | 0.0 | 0.0 | yelp dataset | positive | |
248 | 267 | Thus far, have only visited twice and the food was absolutely delicious each time. | 0.3666666666666667 | 1.0 | 1 | Thus far, have visited twice and the food was absolutely horrendous each time. | 0.15 | 0.95 | yelp dataset | negative | |
249 | 268 | Just as good as when I had it more than a year ago! | 0.6625 | 0.55 | 1 | Just as bad as when I had it more than a year ago! | -0.0374999999999999 | 0.5833333333333333 | yelp dataset | negative | |
250 | 269 | For a self proclaimed coffee cafe, I was wildly disappointed. | -0.75 | 0.75 | 0 | For a self proclaimed coffee cafe, I was pleasantly surprised. | 0.1 | 0.9 | yelp dataset | positive | |
251 | 270 | The Veggitarian platter is out of this world! | 0.0 | 0.0 | 1 | The Veggitarian platter is not so great! | 1.0 | 0.75 | yelp dataset | negative | |
252 | 271 | You cant go wrong with any of the food here. | -0.5 | 0.9 | 1 | You cant go right with any of the food here. | 0.2857142857142857 | 0.5357142857142857 | yelp dataset | negative | |
253 | 272 | You can't beat that. | 0.0 | 0.0 | 1 | It's not good. | -0.35 | 0.6000000000000001 | yelp dataset | negative | |
254 | 273 | Stopped by this place while in Madison for the Ironman, very friendly, kind staff. | 0.54375 | 0.775 | 1 | Stopped by this place while in Madison for the Ironman, fiendish, unkind staff. | -0.6 | 0.7 | yelp dataset | negative | |
255 | 274 | The chefs were friendly and did a good job. | 0.5375 | 0.55 | 1 | The chefs were unfriendly and did a bad job. | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
256 | 275 | I've had better, not only from dedicated boba tea spots, but even from Jenni Pho. | 0.25 | 0.75 | 0 | I've had worse, including deducated boba tea spots and Jenni Pho. | -0.4 | 0.6 | yelp dataset | negative | |
257 | 276 | I liked the patio and the service was outstanding. | 0.55 | 0.8375 | 1 | I disliked the patio and the service was underwhelming. | -0.2 | 0.6 | yelp dataset | negative | |
258 | 277 | The goat taco didn't skimp on the meat and wow what FLAVOR! | 0.125 | 1.0 | 1 | The goat taco was skimp on the meat with little flavor. | -0.1875 | 0.5 | yelp dataset | negative | |
259 | 278 | I think not again | 0.0 | 0.0 | 0 | I think I'll go again. | 0.0 | 0.0 | yelp dataset | positive | |
260 | 279 | I had the mac salad and it was pretty bland so I will not be getting that again. | 0.0416666666666666 | 0.9166666666666669 | 0 | I had the mac salad and it was pretty tasty so I think I might get it again. | 0.25 | 1.0 | yelp dataset | positive | |
261 | 280 | I went to Bachi Burger on a friend's recommendation and was not disappointed. | 0.375 | 0.75 | 1 | I went to Bachi Burger on a friend's recommendation and was disappointed. | -0.75 | 0.75 | yelp dataset | negative | |
262 | 281 | Service stinks here! | -0.75 | 0.5 | 0 | Service rocks here! | 0.0 | 0.0 | yelp dataset | positive | |
263 | 282 | I waited and waited. | 0.0 | 0.0 | 0 | It was prompt. | 0.0 | 0.0 | yelp dataset | positive | |
264 | 283 | This place is not quality sushi, it is not a quality restaurant. | 0.0 | 0.0 | 0 | This place is quality sushi, it is a quality restaurant. | 0.0 | 0.0 | yelp dataset | positive | |
265 | 284 | I would definitely recommend the wings as well as the pizza. | 0.0 | 0.5 | 1 | I would definitely not recommend the wings as well as the pizza. | 0.0 | 0.5 | yelp dataset | negative | |
266 | 285 | Great Pizza and Salads! | 1.0 | 0.75 | 1 | Bad Pizza and Salads! | -0.8749999999999998 | 0.6666666666666666 | yelp dataset | negative | |
267 | 286 | Things that went wrong: - They burned the saganaki. | -0.5 | 0.9 | 0 | Things that went well: - The saganaki. | 0.0 | 0.0 | yelp dataset | positive | |
268 | 287 | We waited an hour for what was a breakfast I could have done 100 times better at home. | 0.5 | 0.5 | 0 | We were promptly served a breakfast which was better than what I could make at home. | 0.5 | 0.5 | yelp dataset | positive | |
269 | 288 | This place is amazing! | 0.7500000000000001 | 0.9 | 1 | This place is bad! | -0.8749999999999998 | 0.6666666666666666 | yelp dataset | negative | |
270 | 289 | I hate to disagree with my fellow Yelpers, but my husband and I were so disappointed with this place. | -0.775 | 0.825 | 0 | I have to agree with my fellow Yelpers, my husband and I were contented with this place. | 0.0 | 0.0 | yelp dataset | positive | |
271 | 291 | Just don't know why they were so slow. | -0.3 | 0.3999999999999999 | 0 | Just don't get how they were so fast. | 0.2 | 0.6 | yelp dataset | positive | |
272 | 292 | The staff is great, the food is delish, and they have an incredible beer selection. | 0.8500000000000001 | 0.825 | 1 | The staff is bad, the food is bland, and they have a poor beer selection. | -0.4222222222222222 | 0.7000000000000001 | yelp dataset | negative | |
273 | 293 | I live in the neighborhood so I am disappointed I won't be back here, because it is a convenient location. | -0.2045454545454545 | 0.4166666666666667 | 0 | I live in the neighbourhood so I will be pleased to go back, because it is a convenient location. | 0.2121212121212121 | 0.5 | yelp dataset | positive | |
274 | 294 | I didn't know pulled pork could be soooo delicious. | 1.0 | 1.0 | 1 | I didn't know pulled pork could be soooo bland. | -0.1666666666666666 | 0.8333333333333334 | yelp dataset | negative | |
275 | 295 | You get incredibly fresh fish, prepared with care. | 0.3 | 0.5 | 1 | You get incredibly stale fish, prepared half-heartedly. | -0.5 | 0.5 | yelp dataset | negative | |
276 | 297 | I love the fact that everything on their menu is worth it. | 0.4 | 0.35 | 1 | I hate the fact that everying on ther menu is not worth it. | -0.475 | 0.5 | yelp dataset | negative | |
277 | 298 | Never again will I be dining at this place! | 0.0 | 0.0 | 0 | I can't wait to dine here again! | 0.0 | 0.0 | yelp dataset | positive | |
278 | 299 | The food was excellent and service was very good. | 0.955 | 0.8900000000000001 | 1 | The food was garbage and the service was bad. | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
279 | 300 | Good beer & drink selection and good food selection. | 0.7 | 0.6000000000000001 | 1 | Bad beer & drink selection and bad food selection. | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
280 | 301 | Please stay away from the shrimp stir fried noodles. | 0.0 | 0.0 | 0 | Please come enjoy the shrimp stir fried noodles. | 0.4 | 0.5 | yelp dataset | positive | |
281 | 302 | The potato chip order was sad... I could probably count how many chips were in that box and it was probably around 12. | 0.0 | 0.75 | 0 | The potato chip order was great... I couldn't believe how many chips there were. | 0.65 | 0.625 | yelp dataset | positive | |
282 | 303 | Food was really boring. | -1.0 | 1.0 | 0 | Food was really inspiring. | 0.5 | 1.0 | yelp dataset | positive | |
283 | 304 | Good Service-check! | 0.875 | 0.6000000000000001 | 1 | Bad Service-check! | -0.8749999999999998 | 0.6666666666666666 | yelp dataset | negative | |
284 | 305 | This greedy corporation will NEVER see another dime from me! | 0.0 | 0.0 | 0 | This selfless corporation deserves all my dimes! | 0.0 | 0.0 | yelp dataset | positive | |
285 | 306 | Will never, ever go back. | 0.0 | 0.0 | 0 | Will go back again often. | 0.0 | 0.0 | yelp dataset | positive | |
286 | 307 | As much as I'd like to go back, I can't get passed the atrocious service and will never return. | -0.1666666666666666 | 0.3999999999999999 | 0 | I'm looking forward to going back thanks to the wonderful service. | 0.3999999999999999 | 0.3999999999999999 | yelp dataset | positive | |
287 | 308 | In the summer, you can dine in a charming outdoor patio - so very delightful. | 0.85 | 1.0 | 1 | In the summer, you can dine in a dingy outdoor patio - so very unpleasant. | -0.8449999999999999 | 1.0 | yelp dataset | negative | |
288 | 309 | I did not expect this to be so good! | 0.875 | 0.6000000000000001 | 1 | I did not expect this to be so bad! | -0.8749999999999998 | 0.6666666666666666 | yelp dataset | negative | |
289 | 310 | Fantastic food! | 0.5 | 0.9 | 1 | Awful food! | -1.0 | 1.0 | yelp dataset | negative | |
290 | 311 | She ordered a toasted English muffin that came out untoasted. | 0.0 | 0.0 | 0 | She ordered a toasted English muffin that came out expertly toasted. | 0.0 | 0.0 | yelp dataset | positive | |
291 | 312 | The food was very good. | 0.91 | 0.7800000000000001 | 1 | The food was very bad. | -0.9099999999999998 | 0.8666666666666667 | yelp dataset | negative | |
292 | 313 | Never going back. | 0.0 | 0.0 | 0 | Will go back again. | 0.0 | 0.0 | yelp dataset | positive | |
293 | 314 | Great food for the price, which is very high quality and house made. | 0.504 | 0.726 | 1 | Bad food for the price, which was poor quality while house made. | -0.5499999999999999 | 0.6333333333333333 | yelp dataset | negative | |
294 | 315 | The bus boy on the other hand was so rude. | -0.2125 | 0.4875 | 0 | The bus boy in addition was polite. | 0.0 | 0.0 | yelp dataset | positive | |
295 | 316 | By this point, my friends and I had basically figured out this place was a joke and didn't mind making it publicly and loudly known. | 0.05 | 0.4333333333333333 | 0 | By this point, my friends and I had figured out how great this place was and didn't mind making it publicly and loudly known. | 0.3 | 0.5388888888888889 | yelp dataset | positive | |
296 | 317 | Back to good BBQ, lighter fare, reasonable pricing and tell the public they are back to the old ways. | 0.1666666666666666 | 0.2444444444444444 | 1 | Back to bad BBQ, heavy fare, unreasonable pricing and tell the public they need to go back. | -0.18 | 0.2466666666666666 | yelp dataset | negative | |
297 | 318 | And considering the two of us left there very full and happy for about $20, you just can't go wrong. | 0.1887499999999999 | 0.65375 | 1 | And considering the two of us left there empty and unhappy for about $20, you just can't go right. | -0.1035714285714285 | 0.4839285714285714 | yelp dataset | negative | |
298 | 319 | All the bread is made in-house! | 0.0 | 0.0 | 1 | All the bread is tasteless! | -0.75 | 0.9 | yelp dataset | negative | |
299 | 320 | The only downside is the service. | 0.0 | 1.0 | 0 | The only upside is the service. | 0.0 | 1.0 | yelp dataset | positive | |
300 | 321 | Also, the fries are without a doubt the worst fries I've ever had. | -1.0 | 1.0 | 0 | Also, the fries are without a doubt the best fries I've ever had. | 1.0 | 0.3 | yelp dataset | positive | |
301 | 322 | Service was exceptional and food was a good as all the reviews. | 0.6833333333333333 | 0.8 | 1 | Service was mediocre and food was bad as all the reviews. | -0.5999999999999999 | 0.8333333333333333 | yelp dataset | negative | |
302 | 323 | A couple of months later, I returned and had an amazing meal. | 0.3 | 0.45 | 1 | A couple of months late, I returned and had an appaling meal. | -0.3 | 0.6 | yelp dataset | negative | |
303 | 325 | The black eyed peas and sweet potatoes... UNREAL! | 0.1354166666666666 | 0.5416666666666667 | 1 | The black eyed peas and sweet potatoes... ATROCIOUS! | -0.2305555555555555 | 0.6944444444444445 | yelp dataset | negative | |
304 | 326 | You won't be disappointed. | -0.75 | 0.75 | 1 | You will be disappointed. | -0.75 | 0.75 | yelp dataset | negative | |
305 | 327 | They could serve it with just the vinaigrette and it may make for a better overall dish, but it was still very good. | 0.47 | 0.4266666666666667 | 1 | They could serve it with just the vinaigrette and it may make for a better overall dish, right now it was pretty bad. | 0.0671428571428571 | 0.5404761904761904 | yelp dataset | negative | |
306 | 328 | I go to far too many places and I've never seen any restaurant that serves a 1 egg breakfast, especially for $4.00. | 0.1999999999999999 | 0.8333333333333334 | 0 | I go to far too many places and I've never seen any restaurant that serves such an amazing breakfast, especially for $4.00. | 0.24 | 0.78 | yelp dataset | negative | |
307 | 330 | The servers are not pleasant to deal with and they don't always honor Pizza Hut coupons. | -0.3666666666666666 | 0.9666666666666668 | 0 | The servers are pleasant to deal with and are generous with their coupons. | 0.7333333333333333 | 0.9666666666666668 | yelp dataset | positive | |
308 | 331 | Both of them were truly unbelievably good, and I am so glad we went back. | 0.3999999999999999 | 0.5333333333333333 | 1 | Both of them were truly unbelievably bad, and I am so glad we stayed away. | -0.0999999999999999 | 0.8333333333333333 | yelp dataset | negative | |
309 | 332 | We had fantastic service, and were pleased by the atmosphere. | 0.45 | 0.95 | 1 | We had horrible service, and were deterred by the atmospehre. | -1.0 | 1.0 | yelp dataset | negative | |
310 | 333 | Everything was gross. | 0.0 | 0.0 | 0 | Everything was gorgeous | 0.7 | 0.9 | yelp dataset | positive | |
311 | 334 | I love this place. | 0.5 | 0.6 | 1 | I hate this place. | -0.8 | 0.9 | yelp dataset | negative | |
312 | 335 | Great service and food. | 0.8 | 0.75 | 1 | Bad service and food. | -0.6999999999999998 | 0.6666666666666666 | yelp dataset | negative | |
313 | 336 | First - the bathrooms at this location were dirty- Seat covers were not replenished & just plain yucky!!! | -0.2561755952380952 | 0.4968253968253968 | 0 | First - the bathrooms at this location were pristine- Everything up to the seats was great feeling. | 0.525 | 0.5416666666666666 | yelp dataset | positive | |
314 | 337 | The burger... I got the "Gold Standard" a $17 burger and was kind of disappointed. | -0.05 | 0.5499999999999999 | 0 | The burger... I got the "Gold Standard" a $17 burger well worth the price. | 0.15 | 0.05 | yelp dataset | positive | |
315 | 338 | OMG, the food was delicioso! | 0.0 | 0.0 | 1 | OMG, the food was gross! | 0.0 | 0.0 | yelp dataset | negative | |
316 | 339 | There is nothing authentic about this place. | 0.5 | 0.75 | 0 | There is lots to like about this place. | 0.0 | 0.0 | yelp dataset | positive | |
317 | 340 | the spaghetti is nothing special whatsoever. | 0.3571428571428571 | 0.5714285714285714 | 0 | the spaghetti is quite a special meal | 0.3571428571428571 | 0.5714285714285714 | yelp dataset | positive | |
318 | 341 | Of all the dishes, the salmon was the best, but all were great. | 0.9 | 0.525 | 1 | Of all the dishes, the salmon was the worst, but all were bad. | -0.8499999999999999 | 0.8333333333333333 | yelp dataset | negative | |
319 | 342 | The vegetables are so fresh and the sauce feels like authentic Thai. | 0.4 | 0.625 | 1 | The vegetables were so stale and the sauce feels like fake Thai. | -0.5 | 0.75 | yelp dataset | negative | |
320 | 343 | It's worth driving up from Tucson! | 0.375 | 0.1 | 1 | It's not worth driving up from Tucson! | -0.1875 | 0.1 | yelp dataset | negative | |
321 | 344 | The selection was probably the worst I've seen in Vegas.....there was none. | -1.0 | 1.0 | 0 | The selection was probably the best I've seen in Vegas.... there was so much. | 0.6 | 0.25 | yelp dataset | positive | |
322 | 345 | Pretty good beer selection too. | 0.475 | 0.8 | 1 | Pretty poor beer selection too. | -0.075 | 0.8 | yelp dataset | negative | |
323 | 346 | This place is like Chipotle, but BETTER. | 0.5 | 0.5 | 1 | This place is like Chipotle, but WORSE. | -0.4 | 0.6 | yelp dataset | negative | |
324 | 347 | Classy/warm atmosphere, fun and fresh appetizers, succulent steaks (Baseball steak!!!!! | 0.607763671875 | 0.35 | 1 | Dingy/cold atmosphere, boring and stale appetizers, dry steaks (Baseball steak!!!!! | -0.5678168402777778 | 0.7000000000000001 | yelp dataset | negative | |
325 | 348 | 5 stars for the brick oven bread app! | 0.0 | 0.0 | 1 | 0 stars for the brick oven bread app! | 0.0 | 0.0 | yelp dataset | negative | |
326 | 349 | I have eaten here multiple times, and each time the food was delicious. | 0.5 | 0.5 | 1 | I have eaten here multiple times, and each time the food was atrocious. | -0.35 | 0.5 | yelp dataset | negative | |
327 | 350 | We sat another ten minutes and finally gave up and left. | 0.0 | 0.3333333333333333 | 0 | We sat for 1 minute and decided to stay. | 0.0 | 0.0 | yelp dataset | positive |
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