Feature Specific Sentiment Analysis for Product Reviews-Reference-Cited by-同舟云学术

Feature Specific Sentiment Analysis for Product Reviews

Published:2012 Issue: Volume: Page:475-487
ISSN:0302-9743
Container-title:Computational Linguistics and Intelligent Text Processing
language:
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Author:

Mukherjee Subhabrata,Bhattacharyya Pushpak

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-28604-9_39.pdf

Reference7 articles.

1. Mosha, C.: Combining Dependency Parsing with Shallow Semantic Analysis for Chinese Opinion-Element Relation Identification, pp. 299–305. IEEE (2010)

2. Wu, Y., Zhang, Q., Huang, X., Wu, L.: Phrase Dependency Parsing for Opinion Mining. In: EMNLP 2009, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, vol. 3 (2009)

3. Zhang, Q., Wu, Y., Li, T., Ogihara, M., Johnson, J., Huang, X.: Mining Product Reviews Based on Shallow Dependency Parsing. In: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 (2009)

4. Lakkaraju, H., Bhattacharyya, C., Bhattacharya, I., Merugu, S.: Exploiting Coherence for the simultaneous discovery of latent facets and associated sentiments. In: SIAM International Conference on Data Mining (SDM) (April 2011)

5. Hu, M., Liu, B.: Mining and summarizing customer reviews. In: KDD 2004: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2004)

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