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Analysis of Users’ Interest Based on Tweets

  • Nimita Mangal
  • Rajdeep NiyogiEmail author
  • Alfredo Milani
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9790)

Abstract

Analysis of tweets would help in designing smart recommendation systems. Analysis of twitter messages is an interesting research area. Sentiment analysis of tweets has been done in some works. Another line of work is the classification of tweets into different categories. However, there are few works that have considered both sentiment analysis and classification to find out users’ interest. In this paper, we propose an approach that combines both sentiment analysis and classification. Thus we are able to extract the topic in which users are interested. We have implemented our algorithm using five lakhs of tweets and around one thousand of users. The results are quite encouraging.

Keywords

Sentiment analysis Twitter user Social media 

Notes

Acknowledgement

The authors thank the anonymous reviewers for their valuable suggestions that have helped in improving the paper.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology RoorkeeRoorkeeIndia
  2. 2.Department of Mathematics and Computer ScienceUniversity of PerugiaPerugiaItaly

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