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Sentiment Analysis in Social Streams

Saif, Hassan; Ortega, F. Javier; Fernández, Miriam and Cantador, Iván (2016). Sentiment Analysis in Social Streams. In: Tkalčič, Marko; De Carolis, Berardina; de Gemmis, Marco; Odić, Ante and Košir, Andrej eds. Emotions and Personality in Personalized Services: Models, Evaluation and Applications. Human-Computer Interaction Series. Springer, pp. 119–140.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1007/978-3-319-31413-6_7
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Abstract

In this chapter we review and discuss the state of the art on sentiment analysis in social streams –such as web forums, micro-blogging systems, and so- cial 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 main- stream of standard, formal languages, and may reflect complex dynamics in the opinions and sentiments expressed by individuals and communities.

Item Type: Book Section
Copyright Holders: 2016 Springer International Publishing
ISBN: 3-319-31413-0, 978-3-319-31413-6
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Centre for Policing Research and Learning (CPRL)
Item ID: 45438
Depositing User: Kay Dave
Date Deposited: 25 Feb 2016 14:51
Last Modified: 14 Jul 2017 00:00
URI: http://oro.open.ac.uk/id/eprint/45438
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