Sentiment Prediction for Virgin America and United Airline tweet data using NLP. Data obtained from ZS for a hackerearth data scientist challenge.

Predict_Sentiments_of_Tweets contains the main code.

• Tweets cleaned for punctuations, @, link addresses
• Use BeautifulSoup from bs4 and WordPunctTokenizer from nltk.tokenize

• Classification of tweet sentiment (positive, neutral, negative).
• TfidfVectorizer w/ or w/o stop words and ngram range 1 to 2.
• RandomForestClassifier, LinearSVC, MultinomialNB, LogisticRegression
• 5-fold Cross-validation

• LinearSVC w/ Bigrams, no stopwords on cleaned tweets (Accuracy: 74.48%)