Exploring Unsupervised Learning Towards Extractive Summarization of User Reviews-Reference-Cited by-同舟云学术

Exploring Unsupervised Learning Towards Extractive Summarization of User Reviews

Published:2017-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web
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Author:

Anchiêta Rafael T.¹,Moura Raimundo S.²

Affiliation:

1. Instituto Federal do Piauí, Picos, Brazil

2. Universidade Federal do Piauí, Teresina, Brazil

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3126858.3131583

Reference25 articles.

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2. Ning Chen Jialiu Lin Steven CH Hoi Xiaokui Xiao and Boshen Zhang . 2014. AR-miner: mining informative reviews for developers from mobile app marketplace Proceedings of the 36th International Conference on Software Engineering. ACM 767--778. Ning Chen Jialiu Lin Steven CH Hoi Xiaokui Xiao and Boshen Zhang . 2014. AR-miner: mining informative reviews for developers from mobile app marketplace Proceedings of the 36th International Conference on Software Engineering. ACM 767--778.

3. Arthur P Dempster Nan M Laird and Donald B Rubin . 1977. Maximum likelihood from incomplete data via the EM algorithm. Journal of the royal statistical society. Series B (methodological) (1977) 1--38. Arthur P Dempster Nan M Laird and Donald B Rubin . 1977. Maximum likelihood from incomplete data via the EM algorithm. Journal of the royal statistical society. Series B (methodological) (1977) 1--38.

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