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Identifying Same Wavelength Groups from Twitter: A Sentiment Based Approach

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Book cover Intelligent Information and Database Systems (ACIIDS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7803))

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Abstract

Social scientists have identified several network relationships and dimensions that induce homophily. Sentiments or opinions towards different issues have been observed as a key dimension which characterizes human behavior. Twitter is an online social medium where rapid communication takes place publicly. People usually express their sentiments towards various issues. Different persons from different walks of social life may share same opinion towards various issues. When these persons constitute a group, such groups can be conveniently termed same wavelength groups. We propose a novel framework based on sentiments to identify such same wavelength groups from twitter domain. The analysis of such groups would be of help in unraveling their response patterns and behavioral features.

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Authors and Affiliations

  1. Dept. of Information Science and Technology, Anna University, Chennai, 25, India

    Rafeeque Pandara & Selvaraju Sendhilkumar

Authors
  1. Rafeeque Pandara
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  2. Selvaraju Sendhilkumar
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Information Systems, Department of Software Engineering, Universiti Teknologi Malaysia, 81310, Johar Baharu, Johor, Malaysia

    Ali Selamat  & Habibollah Haron  & 

  2. Institute of Informatics, Division of Knowledge Managements Systems, Wrocław University of Technology, Str. Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

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Pandara, R., Sendhilkumar, S. (2013). Identifying Same Wavelength Groups from Twitter: A Sentiment Based Approach. In: Selamat, A., Nguyen, N.T., Haron, H. (eds) Intelligent Information and Database Systems. ACIIDS 2013. Lecture Notes in Computer Science(), vol 7803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36543-0_8

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  • DOI: https://doi.org/10.1007/978-3-642-36543-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36542-3

  • Online ISBN: 978-3-642-36543-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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