Twitter Sentiment and Statement Reality Analysis Considering Pre-Current and Post Event Tweets
Ruby Rani, Arthi Basta · International Journal on Future Revolution in Computer Science & Communication Engineering · 2018
As we know that twitter is one of the main internet applications which have pulled many internet users into messaging, sharing tweets etc. The day to day increase of internet usage by the means of Desktop�s, Laptops, and Smartphone�s etc. which made following, follows and favorites hit count to a maximum extent. This has given many un-ethnic users an advantage on making a message or an event to hype, or fake so as to make business or an event a profitable economically or on monetarily. This makes a user or viewers a frustration on the belief. To decrease such activities and increase the reliability and belief a Tweet/ Event Reality Analysis has to be imposed by Considering Tweet Sentiment on Pre-Current and Post Event Tweets based on Event Date. In this paper, we focus on the Tweet Sentiment and Statement Reality Analysis by Pre-Current and Post Event Tweets based on the event Date. The tweet sentiments have to be categorized based on the sentiment and sub categorized on whether the tweet was before the Event date, or on Current Date and or on Post Event Date, which gives the Reality Analysis of the Tweeted Statement without affecting the tweet sentiment.