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Encyclopedia of Social Network Analysis and Mining pp 1–13Cite as

Sentiment Analysis in Social Media

  • Living reference work entry
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Synonyms

Data mining; Knowledge discovery; Opinion mining; Sentiment classification; Social media analysis

Glossary

NB:

Naive Bayes classifier

SVM:

Support vector machines

MaxEnt:

Maximum entropy classifier

PMI:

Point-wise mutual information

POS:

Part-of-speech

SO:

Sentiment orientation

Definition

Sentiment analysis aims to understand subjective information such as opinions, attitudes, and feelings expressed in text. Sentiment analysis tasks include but not limited to the following:

  • Sentiment classification which classifies a given piece of text as positive, negative, or neutral.

  • Opinion retrieval which retrieves opinions in relevance to a specific topic or query.

  • Opinion summarization which summarizes opinions over multiple text sources towards a certain topic.

  • Opinion holder identification which identifies who express a specific opinion.

  • Topic/sentiment dynamics tracking which aims to track sentiment and topic changes over time.

  • Opinion spam detectionwhich identifies...

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Acknowledgments

This work is supported by the awards made by the UK Engineering and Physical Sciences Research Council (Grant number: EP/P005810/1) and the UK Economic & Social Research Council (Grant number: ES/P011004/1).

Author information

Authors and Affiliations

  1. Department of Computing Science, University of Aberdeen, Aberdeen, UK

    Noor Fazilla Abd Yusof & Chenghua Lin

  2. School of Engineering and Applied Science, Aston University, Birmingham, UK

    Yulan He

Authors
  1. Noor Fazilla Abd Yusof
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  2. Chenghua Lin
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  3. Yulan He
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Corresponding author

Correspondence to Noor Fazilla Abd Yusof .

Editor information

Editors and Affiliations

  1. Computer Science, University of Calgary, Calgary, Alberta, Canada

    Reda Alhajj

  2. University of Calgary Computer Science, Calgary, Canada

    Jon Rokne

Section Editor information

  1. Institute for Web Science and Technologies, Universität Koblenz-Landau, Koblenz, Germany

    Thomas Gottron

  2. YU, Amsterdam, The Netherlands

    Stefan Schlobach

  3. Institute for Web Science and Technologies, Universität Koblenz-Landau, Koblenz, Germany

    Steffen Staab

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Yusof, N.F.A., Lin, C., He, Y. (2017). Sentiment Analysis in Social Media. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_120-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7163-9_120-1

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  • Print ISBN: 978-1-4614-7163-9

  • Online ISBN: 978-1-4614-7163-9

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