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TKG: A Graph-Based Approach to Extract Keywords from Tweets

  • Conference paper
Distributed Computing and Artificial Intelligence, 11th International Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 290))

Abstract

Twitter is a microblog service that generates a huge amount of textual content daily. All this content needs to be explored by means of text mining, natural language processing, information retrieval, and other techniques. In this context, automatic keyword extraction is a task of great usefulness. A fundamental step in text mining techniques consists of building a model for text representation. This paper proposes a keyword extraction method for tweet collections that represents texts as graphs and applies centrality measures for finding the relevant vertices (keywords). The proposal is applied to two tweet collections of Brazilian TV shows and its results are compared to those of TFIDF and KEA.

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Author information

Authors and Affiliations

  1. Natural Computing Laboratory, Mackenzie Presbyterian University, São Paulo, Brazil

    Willyan Daniel Abilhoa & Leandro Nunes de Castro

Authors
  1. Willyan Daniel Abilhoa
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  2. Leandro Nunes de Castro
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Corresponding author

Correspondence to Willyan Daniel Abilhoa .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Osaka Institute of Technology, Osaka, Osaka, Japan

    Sigeru Omatu

  2. Université Libre de Bruxelles, Bruxelles, Belgium

    Hugues Bersini

  3. Dept. of Computing Science and Control Faculty of Science, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

  4. Department of Computing Science and Control, Faculty of Science, University of Salamanca, Salamanca, Spain

    Sara Rodríguez

  5. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Paweł Pawlewski

  6. Dep. PPEQS, Section of Economics and Quantitative Methods, University of Chieti-Pescara, Pescara, Italy

    Edgardo Bucciarelli

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© 2014 Springer International Publishing Switzerland

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Abilhoa, W.D., de Castro, L.N. (2014). TKG: A Graph-Based Approach to Extract Keywords from Tweets. In: Omatu, S., Bersini, H., Corchado, J., Rodríguez, S., Pawlewski, P., Bucciarelli, E. (eds) Distributed Computing and Artificial Intelligence, 11th International Conference. Advances in Intelligent Systems and Computing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-07593-8_49

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  • DOI: https://doi.org/10.1007/978-3-319-07593-8_49

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07592-1

  • Online ISBN: 978-3-319-07593-8

  • eBook Packages: EngineeringEngineering (R0)

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