Direction-based text interpretation as an information access refinement
Text-based intelligent systems
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Virtual reviewers for collaborative exploration of movie reviews
Proceedings of the 5th international conference on Intelligent user interfaces
Believe it or not: factors influencing credibility on the Web
Journal of the American Society for Information Science and Technology
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Red Opal: product-feature scoring from reviews
Proceedings of the 8th ACM conference on Electronic commerce
Show me the money!: deriving the pricing power of product features by mining consumer reviews
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Opinion mining of customer feedback data on the web
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Proceedings of the first workshop on Online social networks
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Entity discovery and assignment for opinion mining applications
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Fully automatic lexicon expansion for domain-oriented sentiment analysis
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
The SocialTrust framework for trusted social information management: Architecture and algorithms
Information Sciences: an International Journal
Twitter power: Tweets as electronic word of mouth
Journal of the American Society for Information Science and Technology
Credibility: A multidisciplinary framework
Annual Review of Information Science and Technology
Information Systems
Is it really about me?: message content in social awareness streams
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Characterizing debate performance via aggregated twitter sentiment
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User comments for news recommendation in forum-based social media
Information Sciences: an International Journal
Ensemble of feature sets and classification algorithms for sentiment classification
Information Sciences: an International Journal
Manipulation in digital word-of-mouth: A reality check for book reviews
Decision Support Systems
Predicting consumer sentiments from online text
Decision Support Systems
Discovering content-based behavioral roles in social networks
Decision Support Systems
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Given their rapidly growing popularity, microblogs have become great sources of consumer opinions. However, in the face of unique properties and the massive volume of posts on microblogs, this paper proposes a framework that provides a compact numeric summarization of opinions on such platforms. The proposed framework is designed to cope with the following tasks: trendy topics detection, opinion classification, credibility assessment, and numeric summarization. An experiment is carried out on Twitter, the largest microblog website, to prove the effectiveness of the proposed framework. We find that the consideration of user credibility and opinion subjectivity is essential for aggregating microblog opinions. The proposed mechanism can effectively discover market intelligence (MI) for supporting decision-makers.