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Opinion Retrieval: Searching for Opinions in Social Media

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Professional Search in the Modern World

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8830))

Abstract

Opinion retrieval deals with discovery and retrieval of content, primarily from social media, that is relevant to the user’s information needs and contains opinions that pertain to them. It combines methodologies and approaches from two distinct areas of research: information retrieval and sentiment analysis. The former deals with the representation, storage and access to information, while the latter focuses on the detection, extraction and analysis of affective content. In this chapter, we will provide a brief but concise introduction to the area, focusing on the most relevant and influential work that has taken place in both distinct areas of research, as well as discuss how those approaches can be combined effectively and efficiently to fulfill the field’s stated goal.

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Authors and Affiliations

  1. School of Mathematics and Computer Science, Faculty of Science and Engineering, University of Wolverhampton, Wulfruna Street, WV1 1LY, UK

    Georgios Paltoglou

  2. Faculty of Informatics, University of Lugano, via G.Buffi 13, 6900, Lugano, Switzerland

    Anastasia Giachanou

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  1. Georgios Paltoglou
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  2. Anastasia Giachanou
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Editors and Affiliations

  1. School of Technology, University of Wolverhampton, Wulfruna Street, WV1 1LY, Wolverhampton, UK

    Georgios Paltoglou

  2. Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus

    Fernando Loizides

  3. Swedish Institute of Computer Science, Isafjordsgatan 22, SE-164 28, Kista, Sweden

    Preben Hansen

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Paltoglou, G., Giachanou, A. (2014). Opinion Retrieval: Searching for Opinions in Social Media. In: Paltoglou, G., Loizides, F., Hansen, P. (eds) Professional Search in the Modern World. Lecture Notes in Computer Science, vol 8830. Springer, Cham. https://doi.org/10.1007/978-3-319-12511-4_10

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