Movie Review System Using Sentiment Analysis
Prachi Bhavesh Sanghvi · International Journal for Research in Applied Science and Engineering Technology · 2019
The burgeoning presence of social media and open opportunities for posting personal views have flooded the internet with enormous volumes of opinions catering to all sorts of topics.This sheer volume of reviews has created some serious bottlenecks when it comes to gaining insight into any particular movie.Sentiment analysis is one domain of opinion mining that can solve this problem by taking reviews from multiple sources and condensing them into a single rating.In a movie review context, it is possible to use Sentiment Analysis to give the user a single rating for each movie that is a cumulative result of the reviews, comments that have been posted on various movie websites such as IMDB, TMDB, Rotten Tomatoes, Metacritic, etc. for that particular movie.Research done in this field has provided various techniques in machine learning that can be employed to achieve the classification of the sentiment in the review text as positive, negative or neutral.These methodologies involve feature extraction, creating a vocabulary of words for the system model and classifying them by applying appropriate algorithm like Naive Bayes and Support Vector Machine (SVM) to get more accurate results for a movie.