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Sentiment Analysis in Social Streams

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Emotions and Personality in Personalized Services

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

In this chapter, we review and discuss the state of the art on sentiment analysis in social streams—such as web forums, microblogging systems, and social networks, aiming to clarify how user opinions, affective states, and intended emotional effects are extracted from user generated content, how they are modeled, and how they could be finally exploited. We explain why sentiment analysis tasks are more difficult for social streams than for other textual sources, and entail going beyond classic text-based opinion mining techniques. We show, for example, that social streams may use vocabularies and expressions that exist outside the mainstream of standard, formal languages, and may reflect complex dynamics in the opinions and sentiments expressed by individuals and communities.

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Notes

  1. 1.

    http://globalwordnet.org/.

  2. 2.

    http://decidedlysocial.com/13-types-of-social-media-platforms-and-counting/, http://outthinkgroup.com/tips/the-6-types-of-social-media.

  3. 3.

    http://www.facebook.com.

  4. 4.

    http://twitter.com.

  5. 5.

    http://www.boards.ie.

  6. 6.

    http://stackoverflow.com.

  7. 7.

    http://www.wikipedia.org.

  8. 8.

    http://www.blogger.com.

  9. 9.

    http://www.wordpress.com.

  10. 10.

    http://www.linkedin.com.

  11. 11.

    http://www.flickr.com.

  12. 12.

    http://www.youtube.com.

  13. 13.

    http://delicious.com.

  14. 14.

    http://www.wegov-project.eu, http://www.sense4us.eu.

  15. 15.

    http://data.open.ac.uk.

  16. 16.

    http://www.brandwatch.com/, http://www.lithium.com/.

  17. 17.

    http://ir.ii.uam.es/emotions/.

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Authors and Affiliations

  1. Knowledge Media Institute, Milton Keynes, UK

    Hassan Saif

  2. Universidad de Sevilla, Seville, Spain

    F. Javier Ortega

  3. Knowledge Media Institute, Milton Keynes, UK

    Miriam Fernández

  4. Universidad Autónoma de Madrid, Madrid, Spain

    Iván Cantador

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  1. Hassan Saif
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  2. F. Javier Ortega
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  3. Miriam Fernández
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  4. Iván Cantador
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Correspondence to Iván Cantador .

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Editors and Affiliations

  1. Department of Computational Perception, Johannes Kepler University, Linz, Austria

    Marko Tkalčič

  2. Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

    Berardina De Carolis

  3. Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

    Marco de Gemmis

  4. Preserje, Ljubljana, Slovenia

    Ante Odić

  5. Faculty of electrical engineering, University of Ljubljana, Ljubljana, Slovenia

    Andrej Košir

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Saif, H., Ortega, F.J., Fernández, M., Cantador, I. (2016). Sentiment Analysis in Social Streams. In: Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., Košir, A. (eds) Emotions and Personality in Personalized Services. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-31413-6_7

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