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Exploring contextual factors from consumer reviews affecting movie sales: an opinion mining approach

Author

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  • Li-Chen Cheng

    (Soochow University)

  • Chi-Lun Huang

    (Soochow University)

Abstract

In the age of Web 2.0, the rapid growth of user-generated content (e.g., consumer reviews) on the Internet offers ample avenues to search for information useful to both people and companies. Prior works in this field relating to movies have focused on the average rating and the number of comments. In this study, we used the content of consumer reviews and propose a novel framework integrating opinion mining and machine learning techniques to explore contextual factors influencing box-office revenue. Moreover, we analyzed movie review data from the website Internet Movie Database to examine the relationship among time periods, users’ opinion, and changes in box-office patterns. Experimental evaluations demonstrated that changes in different aspects of opinions effected a change in box-office revenue. Thus, movie marketers should monitor changes in the various aspects of online reviews and accordingly devise e-marketing strategies.

Suggested Citation

  • Li-Chen Cheng & Chi-Lun Huang, 2020. "Exploring contextual factors from consumer reviews affecting movie sales: an opinion mining approach," Electronic Commerce Research, Springer, vol. 20(4), pages 807-832, December.
    • Handle: RePEc:spr:elcore:v:20:y:2020:i:4:d:10.1007_s10660-019-09332-z
    DOI: 10.1007/s10660-019-09332-z
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    References listed on IDEAS

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    1. Sang Ho Kim & Namkee Park & Seung Hyun Park, 2013. "Exploring the Effects of Online Word of Mouth and Expert Reviews on Theatrical Movies' Box Office Success," Journal of Media Economics, Taylor & Francis Journals, vol. 26(2), pages 98-114, June.
    2. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    3. Biplab Bhattacharjee & Amulyashree Sridhar & Anirban Dutta, 2017. "Identifying the causal relationship between social media content of a Bollywood movie and its box-office success - a text mining approach," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 24(3), pages 344-368.
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    Cited by:

    1. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.

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