Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm

Author:

Yu YangORCID,Dinh TaiORCID,Yu FangyuORCID,Huynh Van-NamORCID

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Baowaly, M.K., Tu, Y.P., Chen, K.T.: Predicting the helpfulness of game reviews: a case study on the steam store. J. Intell. Fuzzy Syst. 36(5), 4731–4742 (2019)

2. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993–1022 (2003)

3. Bond, M., Beale, R.: What makes a good game? using reviews to inform design. People Comput. XXIII Celebrating People Technol., 418–422 (2009)

4. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171–4186. Association for Computational Linguistics (2019)

5. Gifford, B.: Reviewing the critics: examining popular video game reviews through a comparative content analysis. Ph.D. thesis, School of Communication, Cleveland State University (2013)

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