IDEAS home Printed from https://ideas.repec.org/a/sgm/pzwzuw/v17i85y2019p154-175.html
   My bibliography  Save this article

Exploring the Relationship Between Viewer Experience and Movie Genre – A Study Based on Text Mining of Online Movie Reviews (Relacja pomiedzy doswiadczeniami widza a gatunkiem filmowym – badanie oparte na text mining recenzji filmowych)

Author

Listed:
  • Urszula Swierczynska-Kaczor

    (Faculty of Film Art Organization, The Polish National Film, Television and Theatre School in Lodz)

Abstract

This paper aims to provide insight about viewer experience with movies of different genres: the suspense movie, the western and the comedy. The qualitative and quantitative analyses based on text mining were conducted for online reviews of the three selected movies. The results of text mining were complemented by a qualitative manual analysis of reviews. The results of text mining indicated the spectrum of factors shaping viewer experience at different stages of the consumer journey. These factors relate to, for example, the product features (e.g. the recognized movie director, movie stars, soundtrack, and the historical context of the plot), and different touch points (e.g. movie distribution channel). The categories of viewer experience captured in the study can be assessed as adequate to the genre. The present study is preliminary in nature and is therefore exploratory. The results indicate the potential usefulness of text mining of online reviews as a method constituting the background for studies based on interviewing subjects. The study also points to the importance of looking for interdisciplinary frameworks in the research field of viewer experience.

Suggested Citation

  • Urszula Swierczynska-Kaczor, 2019. "Exploring the Relationship Between Viewer Experience and Movie Genre – A Study Based on Text Mining of Online Movie Reviews (Relacja pomiedzy doswiadczeniami widza a gatunkiem filmowym – badanie opart," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 17(85), pages 154-175.
    • Handle: RePEc:sgm:pzwzuw:v:17:i:85:y:2019:p:154-175
    as

    Download full text from publisher

    File URL: https://pz.wz.uw.edu.pl/resources/html/article/details?id=198997
    Download Restriction: no
    File URL: http://pz.wz.uw.edu.pl/en
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    text mining of online reviews; viewer experience;

    JEL classification:

    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sgm:pzwzuw:v:17:i:85:y:2019:p:154-175. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/somuwpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.