stopwords used for wordcloud

up-in-the-airbnb-stopwords.py

# define stopwords to remove in word cloud
# some of these words were not useful in describing an area
# others were just so obvious that they appeared too much to be useful

stopwords = set(STOPWORDS)
unigram_stopwords = ["clean", "nice", "perfect", "austin", "great", "place", "stay", "definitely", 
                     "would", "host", "house", "location", "home", "beautiful", "highly", "recommend",
                     "comfortable", "space", "would", "us", "everything", "'s", "bed", "amazing",
                     "room", "apartment", "ing", "really", "loved", "wonderful", "good", "needed",
                     "time", "thank", "need", "ed"]
bigram_stopwords = ["would_recommend", "definitely_recommend", "highly_recommend", "great_place", 
                    "great_stay", "great_host", "would_definitely", "definitely_stay", "place_stay", 
                    "great_location", "would_stay", "place_great", "location_great", "highly_recommended",
                    "clean_comfortable", "within_walking", "walking_distance", "stay_austin",
                    "house_clean", "place_clean", "recommend_staying", "everything_needed",
                    "would_highly", "recommend_place", "made_us", "us_feel", "nice_place"]
stopwords.update(unigram_stopwords)
stopwords.update(bigram_stopwords)