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An Integrated Methodology for Approaching Sentiment Analysis in Business Domain

Author

Listed:
  • Fernando Ferri
  • Alessia D'Andrea
  • Patrizia Grifoni

Abstract

The paper provides a methodology for approaching sentiment analysis in the business domain. It involves the different phases that compose the sentiment analysis processing (sentiment extraction, sentiment changes detection and sentiment prediction). Each phase involves different steps and some examples of approaches/methods/models to perform them. An example of an application scenario for the methodology is defined in the paper.

Suggested Citation

  • Fernando Ferri & Alessia D'Andrea & Patrizia Grifoni, 2017. "An Integrated Methodology for Approaching Sentiment Analysis in Business Domain," International Business Research, Canadian Center of Science and Education, vol. 10(9), pages 1-16, September.
    • Handle: RePEc:ibn:ibrjnl:v:10:y:2017:i:9:p:1-16
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    References listed on IDEAS

    as
    1. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2007. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Working Papers 07-36, NET Institute.
    2. Mike Thelwall & Rudy Prabowo & Ruth Fairclough, 2006. "Are raw RSS feeds suitable for broad issue scanning? A science concern case study," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(12), pages 1644-1654, October.
    3. Zhu, Bo & Niu, Feng, 2016. "Investor sentiment, accounting information and stock price: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 125-134.
    4. Daas, Piet J.H. & Puts, Marco J.H., 2014. "Social media sentiment and consumer confidence," Statistics Paper Series 5, European Central Bank.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    sentiment analysis; social media; sentiment extraction; sentiments chances detection; sentiment prediction;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

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