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Opinion Mining and Sentiment Analysis

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Machine Learning for Text

Abstract

The recent proliferation of social media has enabled users to post views about entities, individuals, events, and topics in a variety of formal and informal settings. Examples of such settings include reviews, forums, social media posts, blogs, and discussion boards. The problem of opinion mining and sentiment analysis is defined as the computational analytics associated with such text.

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Notes

  1. 1.

    https://www.cnet.com/products/logitech-x300-mobile-wireless-stereo-speaker/review/.

  2. 2.

    See [598] for the complete list of tags according to the Penn Treebank project.

  3. 3.

    See the section on software resources at the end of this chapter.

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  1. IBM T. J. Watson Research Center, Yorktown Heights, NY, USA

    Charu C. Aggarwal

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Aggarwal, C.C. (2018). Opinion Mining and Sentiment Analysis. In: Machine Learning for Text. Springer, Cham. https://doi.org/10.1007/978-3-319-73531-3_13

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  • DOI: https://doi.org/10.1007/978-3-319-73531-3_13

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