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Sentiment Quantification of User-Generated Content

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Encyclopedia of Social Network Analysis and Mining

Synonyms

Estimating prevalence of sentiment classes in user-generated content

Glossary

Prevalence of c in set \( \mathcal{S} \):

Percentage of items in \( \mathcal{S} \) that belong to class c and also known as the “relative frequency” of c or the “prior probability” (or simply “prior”) of c

Quantification:

Estimation of the prevalence of each class c ∈ \( \mathcal{C} \) in a set \( \mathcal{S} \) of unlabeled items (or estimation of the distribution of \( \mathcal{S} \) across the classes in \( \mathcal{C} \)), synonym of “supervised prevalence estimation” and “class prior estimation,” and also previously referred to as “counting.”

Sentiment classification:

A classification task whereby items (e.g., tweets, product reviews, comments, answers to open-ended questions) are classified based on the sentiment they convey (or opinion they express) about a certain entity or topic. It may take the form of binary classification (when the available classes are \( \mathcal{C} \) = {Positive, Negative...

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Author information

Authors and Affiliations

  1. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Fabrizio Sebastiani

Authors
  1. Fabrizio Sebastiani
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Corresponding author

Correspondence to Fabrizio Sebastiani .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

  2. Department of Computer Science, University of Calgary, Calgary, AB, 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

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Sebastiani, F. (2018). Sentiment Quantification of User-Generated Content. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_110170

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