Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Extracting Subjective and Objective Evaluative Expressions from the Web
ISUC '08 Proceedings of the 2008 Second International Symposium on Universal Communication
Web Information Organization Using Keyword Distillation Based Clustering
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Topic relatedness in evaluative information extraction
Proceedings of the 3rd International Universal Communication Symposium
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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The World Wide Web comprises a wide variety of evaluative information. It consists of positive and negative opinions on innumerable topics from various perspectives, thus proving to be a useful information source for information credibility analysis. To present an informative and at-a-glance summary of any topic that a user of such an analysis system searches for, it is important to summarize many diverse evaluative expressions on the topic. In this paper, we describe a method for summarizing an extensive variety of evaluative expressions that are automatically extracted.