Sentiment analysis on Twitter Data-set using Naive Bayes algorithm
Huma Parveen, Shikha Pandey · 2016
In the last few years, use of social networking sites has been increased tremendously. Nowadays, social networking sites generate a large amount of data. Millions of people conveniently express their views and opinions on a wide array of topics via microblogging websites. In this paper, we will discuss the extraction of sentiment from a famous microblogging website, Twitter where the user posts their views and opinion. We have done sentiment analysis on tweets which help to provide some prediction on business intelligence. We use Hadoop Framework for processing movie data set that is available on the twitter website in the form of reviews, feedback, and comments. Results of sentiment analysis on twitter data will be displayed as different sections presenting positive, negative and neutral sentiments.