Twitter_sentiment_analysis

Took a dataset of about 31000 tweets for the analysyis of sentiments of the tweets

Classification performed using logistic regression, support vector classifier, random forest and XGBoost

Word embeddings like word2vec and doc2vec used. Vectors formed through BOW and TFIDF(Fasttext could have also been used)

Hyperparameter tuning