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Context Based Semantic Relations in Tweets

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Book cover State of the Art Applications of Social Network Analysis

Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

Twitter, a popular social networking platform, provides a medium for people to share information and opinions with their followers. In such a medium, a flash event finds an immediate response. However, one concept may be expressed in many different ways. Because of users’ different writing conventions, acronym usages, language differences, and spelling mistakes, there may be variations in the content of postings even if they are about the same event. Analyzing semantic relationships and detecting these variations have several use cases, such as event detection, and making recommendations to users while they are posting tweets. In this work, we apply semantic relationship analysis methods based on term co-occurrences in tweets, and evaluate their effect on detection of daily events from Twitter. The results indicate higher accuracy in clustering, earlier event detection and more refined event clusters.

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Notes

  1. 1.

    http://news.cnet.com/8301-1023_3-57541566-93/report-twitter-hits-half-a-billion-tweets-a-day

  2. 2.

    Twitter4J homepage, http://twitter4j.org.

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Acknowledgments

This work is supported by TUBITAK with grant number 112E275.

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Authors and Affiliations

  1. Middle East Technical University, Ankara, Turkey

    Ozer Ozdikis, Pinar Senkul & Halit Oguztuzun

Authors
  1. Ozer Ozdikis
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  2. Pinar Senkul
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  3. Halit Oguztuzun
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Corresponding author

Correspondence to Ozer Ozdikis .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Bilkent University, Bilkent, Turkey

    Fazli Can

  2. Department of Computer Engineering, TOBB University, Sogutozu Ankara, Turkey

    Tansel Özyer

  3. Department of Computer Engineering University Campus, Middle East Technical University, Ankara, Turkey

    Faruk Polat

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© 2014 Springer International Publishing Switzerland

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Ozdikis, O., Senkul, P., Oguztuzun, H. (2014). Context Based Semantic Relations in Tweets. In: Can, F., Özyer, T., Polat, F. (eds) State of the Art Applications of Social Network Analysis. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-05912-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-05912-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05911-2

  • Online ISBN: 978-3-319-05912-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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