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Analysis of the Structured Information for Subjectivity Detection in Twitter

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Transactions on Computational Collective Intelligence XXIX

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 10840))

Abstract

In this paper, we analyze the opportunities of the structured information of the social networks for the subjectivity detection on Twitter micro texts. 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 when compared with other domains. 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 paper we analyze the features of the structured information and their usefulness in the opinion mining sub-domain, specially in the subjectivity detection task. Also present a novel classification of these features according to their origin.

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Notes

  1. 1.

    http://www.sepln.org/.

  2. 2.

    @sanchezcastejon is a Spanish politician of the Spanish Socialist Workers’ Party (PSOE) and @cospedal is a Spanish politician of the People’s Party (PP).

  3. 3.

    Workshop on Sentiment Analysis at SEPLN Conference.

  4. 4.

    Extensible Markup Language.

  5. 5.

    https://dev.twitter.com/rest/public.

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Acknowledgements

This work has been partially supported by the Spanish Ministry of Economy and Competitiveness under the project E-RMP (CSO2015-64495-R).

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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

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  1. Juan Sixto
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  2. Aitor Almeida
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  3. Diego López-de-Ipiña
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Correspondence to Juan Sixto .

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Editors and Affiliations

  1. Institute of Informatics, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Swinburne University of Technology, Hawthorn, Australia

    Ryszard Kowalczyk

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Sixto, J., Almeida, A., López-de-Ipiña, D. (2018). Analysis of the Structured Information for Subjectivity Detection in Twitter. In: Nguyen, N., Kowalczyk, R. (eds) Transactions on Computational Collective Intelligence XXIX. Lecture Notes in Computer Science(), vol 10840. Springer, Cham. https://doi.org/10.1007/978-3-319-90287-6_9

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