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Sentiment Analysis of Microblogging Data

  • Reference work entry
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Encyclopedia of Social Network Analysis and Mining

Synonyms

Opinion mining of microblogging data

Glossary

Microblogging:

Broadcast messaging where posts are constrained to a specific size, e.g., Twitter (140 characters per message)

NLP:

Natural language processing, the area of computer science that studies natural language by computational means

Polarity:

The characteristic of a subjective message of conveying a positive or negative sentiment. Polarity is typically represented either by discrete classes (e.g., positive, negative, neutral) or on a continuous scale of sentiment ranging from negative to positive

Sentiment analysis:

The study of opinion and emotions expressed in natural language

Definition

Sentiment analysis is the task of identifying the subjectivity (neutral vs. emotionally loaded) and the polarity (positive vs. negative semantic orientation) of a text, by exploiting natural language processing, text analysis, and computational linguistics. Sentiment analysis is typically adopted to mine and classify customers’ reviews...

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Acknowledgments

This work is partially funded by the project “EmoQuest – Investigating the Role of Emotions in Online Question & Answer Sites,” funded by MIUR (Ministero dellUniversita’ e della Ricerca) under the program “Scientific Independence of young Researchers” (SIR 2014) and the project “Multilingual Entity Liking” funded by the Apulia Region under the program FutureInResearch.

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Authors and Affiliations

  1. Department of Computer Science, University of Bari Aldo Moro, via E. Orabona 4, 70125, Bari, Italy

    Pierpaolo Basile & Nicole Novielli

  2. Université Côte d’Azur, Inria, CNRS, I3S, 2004 route des Lucioles, 06509, Sophia Antipolis, France

    Valerio Basile

  3. University of Groningen, Oude Kijk in ‘t Jatstraat 26, 9712 EK, Groningen, The Netherlands

    Malvina Nissim

  4. Department of Computer Science, University of Turin, C.so Svizzera 185, 10149, Turin, Italy

    Viviana Patti

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  1. Pierpaolo Basile
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  3. Malvina Nissim
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  4. Nicole Novielli
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  5. Viviana Patti
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Correspondence to Pierpaolo Basile .

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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

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  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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Basile, P., Basile, V., Nissim, M., Novielli, N., Patti, V. (2018). Sentiment Analysis of Microblogging Data. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_110168

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