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An Approach to Subjectivity Detection on Twitter Using the Structured Information

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Book cover Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9875))

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Abstract

In this paper, we propose an approach to the subjectivity detection on Twitter micro texts that explores the uses of the structured information of the social network framework. The sentiment analysis on Twitter has been usually performed through the automatic processing of the texts. However, the established limit of 140 characters and the particular characteristics of the texts reduce drastically the accuracy of Natural Language Processing (NLP) techniques. Under these circumstances, it becomes necessary to study new data sources that allow us to extract new useful knowledge to represent and classify the texts. The structured information, also called meta-information or meta-data, provide us with alternative features of the texts that can improve the classification tasks. In this study we have analysed the use of features extracted from the structured information in the subjectivity detection task, as a first step of the polarity detection task, and their integration with classical features.

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Notes

  1. 1.

    http://www.sepln.org/.

  2. 2.

    Workshop on Sentiment Analysis at SEPLN Conference.

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Author information

Authors and Affiliations

  1. DeustoTech-Deusto Institute of Technology, Universidad de Deusto, Avenida de las Universidades 24, 48007, Bilbao, Spain

    Juan Sixto, Aitor Almeida & Diego López-de-Ipiña

Authors
  1. Juan Sixto
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  2. Aitor Almeida
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  3. Diego López-de-Ipiña
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Corresponding author

Correspondence to Juan Sixto .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc-Thanh Nguyen

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Lazaros Iliadis

  3. Department of Forestry and Management, Democritus University of Thrace, Orestiada, Thrace, Greece

    Yannis Manolopoulos

  4. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

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Sixto, J., Almeida, A., López-de-Ipiña, D. (2016). An Approach to Subjectivity Detection on Twitter Using the Structured Information. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_11

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  • DOI: https://doi.org/10.1007/978-3-319-45243-2_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45242-5

  • Online ISBN: 978-3-319-45243-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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