Is that twitter hashtag worth reading

A. Anusha, Sanjay Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceeding of the 3rd International Symposium on Women in Computing and Informatics, WCI 2015
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
ISBN (Electronic)9781450333610
Publication statusPublished - 10-08-2015
Event3rd International Symposium on Women in Computing and Informatics, WCI 2015 - Kerala, India
Duration: 10-08-201513-08-2015


Conference3rd International Symposium on Women in Computing and Informatics, WCI 2015

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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