Evaluation of Television Shows Popularity Based on Twitter Data using Sentiment Examination Techniques

Abstract

A Blogging platform promotes you to conferrer expose your current status in the type of short posts by making utilization of texting, social media along with online messages. In the meantime, this is constantly producing large amounts of un-sorted and un-organized information which has turned out to be a perplexing responsibility for examination. Twitter, the interpersonal organization benefit, is a rich wellspring of data on client reaction to an occasion, for example, a TV program. Here, we present a contextual investigation where we consider freely accessible tweets that were posted when a famous TV indicate was publicized. We utilize standard content mining methods to dissect the tweets and know the rating of show. This analysis can be used by producers for future shows for improving their business.