Constructing literature abstracts by computer: techniques and prospects
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
Modern Information Retrieval
Mining Open Answers in Questionnaire Data
IEEE Intelligent Systems
Mining product reputations on the Web
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Sentiment analysis: capturing favorability using natural language processing
Proceedings of the 2nd international conference on Knowledge capture
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Effects of adjective orientation and gradability on sentence subjectivity
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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
Smokey: automatic recognition of hostile messages
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Collecting evaluative expressions for opinion extraction
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Affect analysis of text using fuzzy semantic typing
IEEE Transactions on Fuzzy Systems
Factors influencing corporate online identity: a new paradigm
Journal of Theoretical and Applied Electronic Commerce Research
A multi-dimensional annotation scheme for behaviour in dialogues
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Estimating sequential bias in online reviews: A Kalman filtering approach
Knowledge-Based Systems
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Buyers in online auctions write feedback comments to the sellers from whom they have bought the items. Other bidders read them to determine which item to bid for. In this research, we aim at helping bidders by summarizing the feedback comments. First, we examine feedback comments in online auctions. From the results of the examination, we propose a method called social summarization method. It uses social relationships in online auctions for summarizing feedback comments. This method extracts feedback comments which the buyers seemed to have written from their heart. We implement a system based on our method and evaluate its effectiveness. The results are that our method deleted 80.8% of courteous comments (comments with almost no information). We also found that there are two types of comments in the summaries: comments that are generally infrequent and seem to have been written with real feeling and comments that are generally frequent and seem to have been written with real feeling. Finally, we propose an interactive presentation method of the summaries which identifies the types of the comments. The user experiment indicates that this presentation helps users judge which seller to bid for.