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Predicting bursts and popularity of hashtags in real-time

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Published:03 July 2014Publication History

ABSTRACT

Hashtags have been widely used to annotate topics in tweets (short posts on Twitter.com). In this paper, we study the problems of real-time prediction of bursting hashtags. Will a hashtag burst in the near future? If it will, how early can we predict it, and how popular will it become? Based on empirical analysis of data collected from Twitter, we propose solutions to these challenging problems. The performance of different features and possible solutions are evaluated.

References

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  3. S. Kong, Q. Mei, L. Feng, and Z. Zhao. Real-time predicting bursting hashtags on twitter. In Web-Age Information Management. Springer, 2014.Google ScholarGoogle ScholarCross RefCross Ref
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  1. Predicting bursts and popularity of hashtags in real-time

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    • Published in

      cover image ACM Conferences
      SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval
      July 2014
      1330 pages
      ISBN:9781450322577
      DOI:10.1145/2600428

      Copyright © 2014 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 3 July 2014

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      Acceptance Rates

      SIGIR '14 Paper Acceptance Rate82of387submissions,21%Overall Acceptance Rate792of3,983submissions,20%

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