Exploring contextual factors from consumer reviews affecting movie sales: an opinion mining approach-Reference-Cited by-同舟云学术

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

Published:2019-01-28 Issue:4 Volume:20 Page:807-832
ISSN:1389-5753
Container-title:Electronic Commerce Research
language:en
Short-container-title:Electron Commer Res

Author:

Cheng Li-Chen^ORCID,Huang Chi-Lun

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)

Link

http://link.springer.com/article/10.1007/s10660-019-09332-z/fulltext.html

Reference36 articles.

1. Agrawal, R., Imieliński, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. Paper presented at the Acm sigmod record.

2. Bellazzi, R., Larizza, C., Magni, P., & Bellazzi, R. (2005). Temporal data mining for the quality assessment of hemodialysis services. Artificial Intelligence in Medicine, 34(1), 25–39.

3. Bhattacharjee, B., Sridhar, A., & Dutta, A. (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, 24(3), 344–368.

4. Chen, Y., & Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Science, 54(3), 477–491.

5. Cheng, L.-C., Hu, Y.-H., & Chiou, S.-H. (2017). Applying the temporal abstraction technique to the prediction of chronic kidney disease progression. Journal of Medical Systems, 41(5), 85.

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