Effects of adjective orientation and gradability on sentence subjectivity
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Development and use of a gold-standard data set for subjectivity classifications
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Text mining for product attribute extraction
ACM SIGKDD Explorations Newsletter
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
The utility of linguistic rules in opinion mining
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Opinion sentence search engine on open-domain blog
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
MindDigger: feature identification and opinion association for Chinese movie reviews
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
A unified graph model for Chinese product review summarization using richer information
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
Combining user preferences and user opinions for accurate recommendation
Electronic Commerce Research and Applications
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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.