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Sentiment Analysis and Opinion Mining (Business Intelligence 1)

In: Social Media Management

Author

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  • Amy Van Looy

    (Ghent University)

Abstract

This chapter covers the first part of our business intelligence discussion and gives the reader insight into opinion mining and sentiment analysis. Social media are seen as big data in the sense that they provide a massive amount of online reviews and ratings that can be collected and analyzed in order to consider the impact these data may have on organizations. Particularly, several studies have shown that more positive reviews and higher rates for an organization (and its products or services) may lead to a significantly higher number of desired business actions (e.g., higher sales or more subscriptions to an online newsletter, etc.). This chapter explains characteristics such as subjectivity and tone in opinions and shows how a sentiment model can be built. The chapter concludes with challenges faced by this research field today.

Suggested Citation

  • Amy Van Looy, 2016. "Sentiment Analysis and Opinion Mining (Business Intelligence 1)," Springer Texts in Business and Economics, in: Social Media Management, chapter 7, pages 133-147, Springer.
    • Handle: RePEc:spr:sptchp:978-3-319-21990-5_7
    DOI: 10.1007/978-3-319-21990-5_7
    as

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