Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Identifying and analyzing judgment opinions
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Open information extraction from the web
Communications of the ACM - Surviving the data deluge
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Sentiment classification using word sub-sequences and dependency sub-trees
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
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In this paper, we present a novel approach of constructing an opinion-element collocation dataset for Chinese language. The opinion-element collocation is a collocation whose composition words contain opinion/sentiment element. The dataset is useful for opinion mining task in many aspects. A search engine is used as a fundamental tool mainly because it could help us to seek both domain-specific and domain-independent collocation pairs, and at the same time, an ontology is used as a resource because it can offer rich semantic information to help us to classify collocations into domain-specific or domain-independent type. The tool and resource are combined to build a smart system that can automatically crawl data from the Internet and analyze extracted collocations. In order to ensure the quality of extracted collocations, we evaluate it manually. The experimental results on the COAE2008's public corpus have proved the success of this approach on the four domains.