Sentiment-Analysis

Sentiment Analysis on movie reviews using Logistic regression and tf-idf vectors.
Sentiment analysis developed by considering 7000 (3500 positive and 3500 negative) train samples and 1000 test samples from aclimdb dataset.

Download IMDb dataset from https://www.imdb.com/interfaces/

step1:

preprocessing -> removed stopwords, punctuations and applied lemmatization

step2:

converting each review to tf-idf vector using sklearn

step3:

applying logistic regression on tf-idf vectors

step4:

calculating accuracy 
Accuracy: 0.758