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An efficient framework for real-time tweet classification

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Abstract

Increasing popularity of social networking sites like facebook, twitter, google+ etc. is contributing in fast proliferation of big data. Amongst social Networking sites, twitter is one of the most common source of big data where people from across the world share their views on various topics and subjects. With daily Active user count of 100-million+ users twitter is becoming a rich information source for finding trends and current happenings around the world. Twitter does provide a limited “trends” feature. To make twitter trends more interesting and informative, in this paper we propose a framework that can analyze twitter data and classify tweets on some specific subject to generate trends. We illustrate the use of framework by analyzing the tweets on “Politics” domain as a subject. In order to classify tweets we propose a tweet classification algorithm that efficiently classify the tweets.

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Authors and Affiliations

  1. Center for Information Technology, Jamia Millia Islamia, New Delhi, India

    Imran Khan & S. K. Naqvi

  2. Department of Computer Science, Jamia Millia Islamia, New Delhi, India

    Mansaf Alam

  3. Department of Mathematics, Jamia Millia Islamia, New Delhi, India

    S. N. A. Rizvi

Authors
  1. Imran Khan
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  2. S. K. Naqvi
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  3. Mansaf Alam
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  4. S. N. A. Rizvi
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Correspondence to Imran Khan.

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Khan, I., Naqvi, S.K., Alam, M. et al. An efficient framework for real-time tweet classification. Int. j. inf. tecnol. 9, 215–221 (2017). https://doi.org/10.1007/s41870-017-0015-x

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  • DOI: https://doi.org/10.1007/s41870-017-0015-x

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