SENTIMENT ANALYSIS OF A MOVIE USING TWITTER AND TEXT ANALYTICS

A movie review is an article describing the movie and giving critics on it that allows the viewer or anyone to know and understand whether it is really worth to watch that movie or not. The practice of using analytics, using audience sentiment, to measure movie’s success is not a new phenomenon. The present work is based on the major project work carried out as a part of Bachelor of Engineering programme and is intended to demonstrate gauging audience sentiments about the movie “Alita: Battle Angel”. Text Analytics using Twitter data is used to calculate sentiments using two approaches, namely, “tm” package and “syuzhet” package.