Is That Twitter Hashtag Worth Reading

TL;DR

This paper analyzes Twitter hashtags to understand their relevance and sentiment, using topic modeling and a new technique to identify interesting hashtags, aiding users in finding relevant content.

Contribution

It introduces a novel technique to assess the interestingness and sentiment of event-based hashtags on Twitter, enhancing content relevance for users.

Findings

Identified key characteristics of trending hashtags.

Developed a method to measure hashtag interestingness.

Demonstrated improved content relevance for Twitter users.

Abstract

Online social media such as Twitter, Facebook, Wikis and Linkedin have made a great impact on the way we consume information in our day to day life. Now it has become increasingly important that we come across appropriate content from the social media to avoid information explosion. In case of Twitter, popular information can be tracked using hashtags. Studying the characteristics of tweets containing hashtags becomes important for a number of tasks, such as breaking news detection, personalized message recommendation, friends recommendation, and sentiment analysis among others. In this paper, we have analyzed Twitter data based on trending hashtags, which is widely used nowadays. We have used event based hashtags to know users' thoughts on those events and to decide whether the rest of the users might find it interesting or not. We have used topic modeling, which reveals the hidden thematic structure of the documents (tweets in this case) in addition to sentiment analysis in exploring and summarizing the content of the documents. A technique to find the interestingness of event based twitter hashtag and the associated sentiment has been proposed. The proposed technique helps twitter follower to read, relevant and interesting hashtag.