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CRO: a system for online review structurization

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International Conference on Knowledge Discovery and Data Mining archive
Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining table of contents

Las Vegas, Nevada, USA

DEMONSTRATION SESSION: Demonstrations table of contents

Pages 1085-1088

Year of Publication: 2008

ISBN:978-1-60558-193-4

Authors

Hongyan Liu	Tsinghua University, Beijing, China
Hui Yang	Renmin University of China, Beijing, China
Wenbo Li	Beihang University, Beijing, China
Wei Wei	Renmin University of China, Beijing, China
Jun He	Renmin University of China, Beijing, China
Xiaoyong Du	Renmin University of China, Beijing, China

Sponsors

ACM: Association for Computing Machinery
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

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ABSTRACT

In this paper, we present a system called CRO (Chinese Review Observer) for online product review structurization. By Structurization, we mean identifying, extracting and summarizing information from unstructured review text to a structured table. The core tasks include review collection, product feature and user opinion extraction, and polarity analysis of opinions. Existing research in this area is mainly English text oriented. To deal with Chinese effectively, we propose several novel approaches for fulfilling the core tasks. Then we integrated these approaches and implement the whole procedure of review structurization in the system CRO. Running results for reviews of real products show its performance is satisfactory.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Osamu Furuse, Nobuaki Hiroshima, Setsuo Yamada, Ryoji Kataoka: Opinion Sentence Search Engine on Open-Domain Blog. IJCAI 2007: 2760--2765
	2	Minqing Hu , Bing Liu, Mining and summarizing customer reviews, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, August 22-25, 2004, Seattle, WA, USA [doi>10.1145/1014052.1014073]
	3	Bing Liu , Minqing Hu , Junsheng Cheng, Opinion observer: analyzing and comparing opinions on the Web, Proceedings of the 14th international conference on World Wide Web, May 10-14, 2005, Chiba, Japan [doi>10.1145/1060745.1060797]
	4	Hu.M, Liu.B. Mining opinion features in customer reviews.AAAI-2004
	5	Rayid Ghani , Katharina Probst , Yan Liu , Marko Krema , Andrew Fano, Text mining for product attribute extraction, ACM SIGKDD Explorations Newsletter, v.8 n.1, p.41-48, June 2006 [doi>10.1145/1147234.1147241]
	6	Xiaowen Ding , Bing Liu, The utility of linguistic rules in opinion mining, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, July 23-27, 2007, Amsterdam, The Netherlands [doi>10.1145/1277741.1277921]
	7	Ana-Maria Popescu , Oren Etzioni, Extracting product features and opinions from reviews, Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, p.339-346, October 06-08, 2005, Vancouver, British Columbia, Canada [doi>10.3115/1220575.1220618]
	8	Jialu Xu. Current The-State-of-the-Art and the Related Strategic Considerations on the Studies of Chinese Information Processing and Contemporary Chinese Language. Journal of Chinese Information Processing. Vol.15 No.2 , 2001.
	9	Hong Yu , Vasileios Hatzivassiloglou, Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences, Proceedings of the 2003 conference on Empirical methods in natural language processing, p.129-136, July 11, 2003 [doi>10.3115/1119355.1119372]
	10	Vasileios Hatzivassiloglou , Janyce M. Wiebe, Effects of adjective orientation and gradability on sentence subjectivity, Proceedings of the 18th conference on Computational linguistics, p.299-305, July 31-August 04, 2000, Saarbrücken, Germany [doi>10.3115/990820.990864]
	11	Janyce M. Wiebe , Rebecca F. Bruce , Thomas P. O'Hara, Development and use of a gold-standard data set for subjectivity classifications, Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics, p.246-253, June 20-26, 1999, College Park, Maryland [doi>10.3115/1034678.1034721]
	12	Huaping Zhang, Mingkai Wang, Zhenyu Lv and Xinbo Zhang. Institute of Computing Technology, Chinese Lexical Analysis System: ICTCLA 3.0 http://ictclas.org 2008.
	13	Christiane Fellbaum. WordNet-An Electronic Lexical Database. The MIT press, 1998.
	14	HowNet: http://www.keenage.com/