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International Conference on Discovery Science

DS 2015: Discovery Science pp 25–32Cite as

No Sentiment is an Island:

Sentiment Classification on Medical Forums

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9356))

Abstract

In this study we propose a new method to classify sentiments in messages posted on online forums. Traditionally, sentiment classification relies on analysis of emotionally-charged words and discourse units found in the classified text. In coherent online discussions, however, messages’ non-lexical meta-information can be sufficient to achieve reliable classification results. Our empirical evidence is obtained through multi-class classification of messages posted on a medical forum.

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Notes

  1. 1.

    http://ec.europa.eu/eurostat/.

  2. 2.

    http://ivf.ca/forums/forum/166-ivf-ages-35/.

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Author information

Authors and Affiliations

  1. Technical University of Moldova, Chișinău, Moldova

    Victoria Bobicev

  2. Institute for Big Data Analytics, Halifax, Canada

    Marina Sokolova

  3. University of Ottawa, Ottawa, Canada

    Marina Sokolova

Authors
  1. Victoria Bobicev
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  2. Marina Sokolova
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Corresponding author

Correspondence to Victoria Bobicev .

Editor information

Editors and Affiliations

  1. University of Ottawa, Ottawa, Ontario, Canada

    Nathalie Japkowicz

  2. Faculty of Computer Science, Dalhousie University, HALIFAX, Nova Scotia, Canada

    Stan Matwin

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© 2015 Springer International Publishing Switzerland

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Bobicev, V., Sokolova, M. (2015). No Sentiment is an Island:. In: Japkowicz, N., Matwin, S. (eds) Discovery Science. DS 2015. Lecture Notes in Computer Science(), vol 9356. Springer, Cham. https://doi.org/10.1007/978-3-319-24282-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-24282-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24281-1

  • Online ISBN: 978-3-319-24282-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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