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Understanding the Film Audience – Providing Insight into the Viewer’s Experience from Text Mining and Manual Text Analysis of Online Film Reviews

Author

Listed:
  • Urszula Swierczynska-Kaczor

    (Lodz Film School)

  • Jacek Wachowicz

    (UTP University of Science and Technology)

Abstract

The paper aims to contribute to the research of the film market, starting a discussion and seeking answers to the following problem: What spectrum of film-viewer experiences can be identified and better understood due to the implementation of text mining in the analysis of online film reviews? The presented study was based on the analysis of online audience reviews of five films targeted at a young audience, with their premieres in 2016 and 2017. The findings suggest that implementing text mining as a method of analysis of online reviews can provide valuable insight into the film market, which may be helpful for producers in developing future productions, or altering the communication strategy.

Suggested Citation

  • Urszula Swierczynska-Kaczor & Jacek Wachowicz, 2017. "Understanding the Film Audience – Providing Insight into the Viewer’s Experience from Text Mining and Manual Text Analysis of Online Film Reviews," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 15(71), pages 177-193.
    • Handle: RePEc:sgm:pzwzuw:v:15:i:71:y:2017:p:177-193
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    File URL: https://pz.wz.uw.edu.pl/resources/html/article/details?id=170380
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    More about this item

    Keywords

    text mining; viewer research; film market.;
    All these keywords.

    JEL classification:

    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General

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