A Sentiment-aligned Topic Model for Product Aspect Rating Prediction

Hao Wang, Martin Ester


Anthology ID:
D14-1126
Volume:
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
October
Year:
2014
Address:
Doha, Qatar
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1192–1202
Language:
URL:
https://aclanthology.org/D14-1126
DOI:
10.3115/v1/D14-1126
Bibkey:
Cite (ACL):
Hao Wang and Martin Ester. 2014. A Sentiment-aligned Topic Model for Product Aspect Rating Prediction. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1192–1202, Doha, Qatar. Association for Computational Linguistics.
Cite (Informal):
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction (Wang & Ester, EMNLP 2014)
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PDF:
https://aclanthology.org/D14-1126.pdf