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Opinion Retrieval: Searching for Opinions in Social Media

  • Georgios Paltoglou
  • Anastasia Giachanou
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Social media sentiment analysis opinion mining opinion retrieval information retrieval 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Georgios Paltoglou
    • 1
  • Anastasia Giachanou
    • 2
  1. 1.School of Mathematics and Computer Science, Faculty of Science and EngineeringUniversity of WolverhamptonUK
  2. 2.Faculty of InformaticsUniversity of LuganoLuganoSwitzerland

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