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Machine Learning Methods for Opinion Mining In text: The Past and the Future

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Machine Learning Paradigms

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 1))

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Abstract

Sentiment analysis, which is also referred as opinion mining, attracts continuous and increasing interest not only from the academic but also from the business domain. Countless text messages are exchanged on a daily basis within social media, capturing the interest of researchers, journalists, companies, and governments. In these messages people usually declare their opinions or express their feelings, their beliefs and speculations, i.e., their sentiments. The massive use of on-line social networks and the large amount of data collected through them, has raised the attention to analyze the rich information they contain. In this chapter we present a comprehensive overview of the various methods used for sentiment analysis and how they have evolved in the age of big data.

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Notes

  1. 1.

    Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets).

  2. 2.

    http://saifmohammad.com/WebPages/lexicons.html.

  3. 3.

    http://www.sananalytics.com/lab/twitter-sentiment/.

  4. 4.

    https://raw.githubusercontent.com/sinmaniphel/py_isear_dataset/master/isear.csv.

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Authors and Affiliations

  1. Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

    Athanasia Kolovou

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  1. Athanasia Kolovou
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Editors and Affiliations

  1. University of Piraeus, Pireas, Greece

    George A. Tsihrintzis

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    Maria Virvou

  3. University of Piraeus, Piraeus, Greece

    Evangelos Sakkopoulos

  4. Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology Sydney, NSW, Australia

    Lakhmi C. Jain

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Kolovou, A. (2019). Machine Learning Methods for Opinion Mining In text: The Past and the Future. In: Tsihrintzis, G., Virvou, M., Sakkopoulos, E., Jain, L. (eds) Machine Learning Paradigms. Learning and Analytics in Intelligent Systems, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-030-15628-2_13

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