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Semantic Sentiment Analysis of Twitter Data

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Encyclopedia of Social Network Analysis and Mining

Synonyms

Microblog sentiment analysis; Twitter opinion mining

Sentiment Analysis:

This is text analysis aiming to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a piece of text.

Definition

Sentiment analysis on Twitter is the use of natural language processing techniques to identify and categorize opinions expressed in a tweet, in order to determine the author’s attitude toward a particular topic or in general. Typically, discrete labels such as positive, negative, neutral, and objective are used for this purpose, but it is also possible to use labels on an ordinal scale, or even continuous numerical values.

Introduction

Internet and the proliferation of smart mobile devices have changed the way information is created, shared, and spread, e.g., microblogs such as Twitter, weblogs such as LiveJournal, social networks such as Facebook, and instant messengers such as Skype and WhatsApp are now commonly used to share...

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Authors and Affiliations

  1. Qatar Computing Research Institute, HBKU, Doha, Qatar

    Preslav Nakov

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  1. Preslav Nakov
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Correspondence to Preslav Nakov .

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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. Department of Computer Science, University of Bari "Aldo Moro", Bari, Italy

    Giovanni Semeraro

  2. Bari, Italy

    Cataldo Musto Ph.D

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Nakov, P. (2017). Semantic Sentiment Analysis of Twitter Data. 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_110167-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7163-9_110167-1

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