Probabilistic latent semantic indexing
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Mining and summarizing customer reviews
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A cross-collection mixture model for comparative text mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Opinion observer: analyzing and comparing opinions on the Web
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Thumbs up?: sentiment classification using machine learning techniques
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Identifying comparative sentences in text documents
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Movie review mining and summarization
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Extracting product features and opinions from reviews
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Topic sentiment mixture: modeling facets and opinions in weblogs
Proceedings of the 16th international conference on World Wide Web
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Proceedings of the 17th international conference on World Wide Web
Opinion integration through semi-supervised topic modeling
Proceedings of the 17th international conference on World Wide Web
Opinion Mining and Sentiment Analysis
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Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
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AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
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Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
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HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
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Proceedings of the 21st international conference on World Wide Web
Survey on mining subjective data on the web
Data Mining and Knowledge Discovery
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Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
Joint topic modeling for event summarization across news and social media streams
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WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
BiCWS: mining cognitive differences from bilingual web search results
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
A probabilistic mixture model for mining and analyzing product search log
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Compact explanatory opinion summarization
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Generating comparative summaries from reviews
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Automatic aggregation by joint modeling of aspects and values
Journal of Artificial Intelligence Research
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This paper presents a study of a novel summarization problem called contrastive opinion summarization (COS). Given two sets of positively and negatively opinionated sentences which are often the output of an existing opinion summarizer, COS aims to extract comparable sentences from each set of opinions and generate a comparative summary containing a set of contrastive sentence pairs. We formally formulate the problem as an optimization problem and propose two general methods for generating a comparative summary using the framework, both of which rely on measuring the content similarity and contrastive similarity of two sentences. We study several strategies to compute these two similarities. We also create a test data set for evaluating such a novel summarization problem. Experiment results on this test set show that the proposed methods are effective for generating comparative summaries of contradictory opinions.