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Opinion Mining

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 42 Accesses

Synonyms

Sentiment analysis

Definition

Given a set of evaluative text documents D that contain opinions (or sentiments) about an object, opinion mining aims to extract attributes and components of the object that have been commented on in each document d ∈ D and to determine whether the comments are positive, negative or neutral.

Historical Background

Textual information in the world can be broadly classified into two main categories, facts and opinions. Facts are objective statements about entities and events in the world. Opinions are subjective statements that reflect people’s sentiments or perceptions about the entities and events. Much of the existing research on text information processing has been (almost exclusively) focused on mining and retrieval of factual information, e.g., information retrieval, Web search, and many other text mining and natural language processing tasks. Little work has been done on the processing of opinions until only recently. Yet, opinions are so...

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Recommended Reading

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Author information

Authors and Affiliations

  1. University of Illinois at Chicago, Chicago, IL, USA

    Bing Liu

Authors
  1. Bing Liu
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Corresponding author

Correspondence to Bing Liu .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Microsoft Research Asia, Microsoft Corporation, Beijing, Haidian, China

    Zheng Chen

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Cite this entry

Liu, B. (2018). Opinion Mining. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_257

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