Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Automatically collecting, monitoring, and mining japanese weblogs
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Major topic detection and its application to opinion summarization
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Learning extraction patterns for subjective expressions
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
The sentimental factor: improving review classification via human-provided information
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Hidden sentiment association in chinese web opinion mining
Proceedings of the 17th international conference on World Wide Web
A multimedia interface for facilitating comparisons of opinions
Proceedings of the 14th international conference on Intelligent user interfaces
An iterative reinforcement approach for fine-grained opinion mining
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Recognizing stances in online debates
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Sentiment classification of Internet restaurant reviews written in Cantonese
Expert Systems with Applications: An International Journal
Information Retrieval in the Commentsphere
ACM Transactions on Intelligent Systems and Technology (TIST)
Extracting chinese product features: representing a sequence by a set of skip-bigrams
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
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On the World Wide Web, the volume of subjective information, such as opinions and reviews, has been increasing rapidly. The trends and rules latent in a large set of subjective descriptions can potentially be useful for decision-making purposes. In this paper, we propose a method for summarizing subjective descriptions, specifically opinions in Japanese. We visualize the pro and con arguments for a target topic, such as "Should Japan introduce the summertime system?" Users can summarize the arguments about the topic in order to choose a more reasonable standpoint for decision making. We evaluate our system, called "OpinionReader", experimentally.