abhisheksoni27

var AWS = require('aws-sdk');

AWS.config.update({
  accessKeyId: '{AWS_KEY}',
  secretAccessKey: '{AWS_SECRET}',
  region: '{SNS_REGION}'
});

var sns = new AWS.SNS();

abhisheksoni27

SELECT
  p.Id,
  c.Text
FROM
  [sotorrent-org:2018_09_23.Posts] p
INNER JOIN
  [sotorrent-org:2018_09_23.Comments] c
ON
  p.Id = c.PostId
WHERE

abhisheksoni27

import tensorflow as tf
from tensorflow import keras
from tensorflow.python.keras.applications.inception_resnet_v2 import preprocess_input
from tensorflow.python.keras.models import load_model
from tensorflow.python.keras.applications.inception_resnet_v2 import InceptionResNetV2
from tensorflow.python.keras.applications.mobilenet import preprocess_input
from tensorflow.python.keras.applications.mobilenet import MobileNet
from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
import numpy as np
import cv2

abhisheksoni27

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-183-74b2cf4f5e86> in <module>()
----> 1 model = load_model('muteTV.h5')

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/saving.py in load_model(filepath, custom_objects, compile)
    227       raise ValueError('No model found in config file.')
    228     model_config = json.loads(model_config.decode('utf-8'))
--> 229     model = model_from_config(model_config, custom_objects=custom_objects)
    230 

abhisheksoni27

"""
Removes the matches and 
replace them with an empty string
"""
chatText = regexMedia.sub("", chatText)
chatText = regexDate.sub("", chatText)

lines = []

for line in chatText.splitlines():

abhisheksoni27

import re

mediaPattern = r"(\<Media omitted\>)" # Because it serves no purpose
regexMedia = re.compile(mediaPattern, flags=re.M)

dateAndTimepattern = r"(\d+\/\d+\/\d+)(,)(\s)(\d+:\d+)(\s)(\w+)(\s)(-)(\s\w+)*(:)"
regexDate = re.compile(dateAndTimepattern, flags=re.M)

abhisheksoni27

import sys
import re
import matplotlib.pyplot as plt
import nltk
from utilities import cleanText 
from nltk.sentiment.vader import SentimentIntensityAnalyzer

sentiment_analyzer = SentimentIntensityAnalyzer() # Our Great Sentiment Analyzer

def analyze(name):

abhisheksoni27

import sys
from collections import Counter
import re
import matplotlib.pyplot as plt
import numpy as np
from utilities import cleanText


def analyze(name):
    linesText = cleanText(name + ".txt")

abhisheksoni27

import re

mediaPattern = r"(\<Media omitted\>)" # Because it serves no purpose
regexMedia = re.compile(mediaPattern, flags=re.M)

dateAndTimepattern = r"(\d+\/\d+\/\d+)(,)(\s)(\d+:\d+)(\s)(\w+)(\s)(-)(\s\w+)*(:)"
regexDate = re.compile(dateAndTimepattern, flags=re.M)

def cleanText(filename):    
    chat = open(filename)

abhisheksoni27

10/09/16, 6:10 PM - Person 1: Person 2?
10/09/16, 7:10 PM - Person 2: Yes?
10/09/16, 8:10 PM - Person 1: How are you?
10/09/16, 9:10 PM - Person 2: Idk. You?
10/09/16, 10:10 PM - Person 1: I just got a new phone
10/09/16, 11:10 PM - Person 2: Which one?
10/09/16, 12:10 AM - Person 1: I showed you?
10/09/16, 1:10 AM - Person 2: Cool
10/09/16, 2:10 AM - Person 1: Tes
10/09/16, 3:10 AM - Person 1: Yes