有关情感分析的研究总结(转)

这个分类只是一个很粗糙的分类,并且截止到今年5月份,此后没有继续更新。
论文包含的也不是很全,但是以小见多未必是一件坏事!

1 Topic modeling for sentiment analysis
1.1 Unsupervised aspect extraction [25]
1.2 Weakly supervised aspect extraction [4, 16, 17, 24, 1, 10]
1.3 Joint sentiment and aspect model[17,15]+our EMNLP paper

2 Supervised opinion extraction[27,6,13]

3 Supervised sentiment classi cation[19,21,18]

4 Other work
4.1 Feature based summary[11,23]
4.2 Identifying sentiment orientation of opinion words[9,11,5,20,23,28,26]
4.3 Opinion spam[14]
4.4 Domain adaption on sentiment classification[3]

5 Opinion dataset
http://www.cs.cornell.edu/people/pabo/movie-review-data/
http://www.cs.uic.edu/ liub/FBS/sentiment-analysis.html
http://www.cs.jhu.edu/ mdredze/datasets/sentiment/index2.html
http://people.dbmi.columbia.edu/noemie/ursa/
http://people.csail.mit.edu/bsnyder/naacl07/


Reference:

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[2] David M. Blei, Andrew Y. Ng, and Michael I. Jordan. Latent dirichlet allocation. J.
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[3] John Blitzer, Mark Dredze, and Fernando Pereira. Biographies, bollywood, boom-
boxes and blenders: Domain adaptation for sentiment classification
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[4] S. R. K. Branavan, Harr Chen, Jacob Eisenstein, and Regina Barzilay. Learning
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[6] Xiaowen Ding, Bing Liu, and Lei Zhang. Entity discovery and assignment for opinion
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[10] Thomas Hofmann. Unsupervised learning by probabilistic latent semantic analysis.
Mach. Learn., 42(1-2):177{196, 2001.
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[12] Wei Jin, Hung Hay Ho, and Rohini K. Srihari. Opinionminer: a novel machine learning
system for web opinion mining and extraction.
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[16] Yue Lu, ChengXiang Zhai, and Neel Sundaresan. Rated aspect summarization of short
comments.
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[18] Bo Pang and Lillian Lee. A sentimental education: Sentiment analysis using subjectivity
summarization based on minimum cuts
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[19] Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. Thumbs up? Sentiment classi-
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In Proceedings of the 2002 Conference on
Empirical Methods in Natural Language Processing (EMNLP), pages 79{86, 2002.
[20] Ana-Maria Popescu and Oren Etzioni. Extracting product features and opinions from
reviews.
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and Empirical Methods in Natural Language Processing, pages 339{346, Morristown,
NJ, USA, 2005. Association for Computational Linguistics.
[21] Ellen Rilo and Janyce Wiebe. Learning extraction patterns for subjective expressions.
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[22] Benjamin Snyder and Regina Barzilay. Multiple aspect ranking using the good grief al-
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pages 300{307, 2007.
[23] Qi Su, Xinying Xu, Honglei Guo, Zhili Guo, Xian Wu, Xiaoxun Zhang, Bin Swen, and
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[24] Ivan Titov and Ryan Mcdonald. A joint model of text and aspect ratings for sentiment
summarization.
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2008. Association for Computational Linguistics.
[25] Ivan Titov and Ryan McDonald. Modeling online reviews with multi-grain topic models.
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