Sentiment Analysis On Movie Reviews

Abstract

Sentiment analysis indicates to the use of NLP (Natural Language Processing), text analysis and identify subjective information in source materials. The detection of Subjective information such a opinions, attributes, emotions or feelings what we are working on. In this Thesis we are working on IMDb movies review using text analysis finding sentiment analysis. At the very beginning we have used python built in libraries to execute the properties which we have used in our code. Then we collect the data set from Kaggle.com both train and test data. To built our project models we have used naive Bayes algorithm for probability measurement the sentiment. Logistic regression for portray information. Confusion matrix help us to find out precision., recall fi-score, support. For the input data we have used IMDb movie review comments and then we get the sentiments as an output.