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
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning extraction patterns for subjective expressions
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
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
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Study of information clouding methods to prevent spoilers of sports match
Proceedings of the International Working Conference on Advanced Visual Interfaces
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Recently, there are a lot of commercial web sites in which users can write reviews. Many people see the reviews of an item they are interested in. The opinions in reviews are useful when they want to measure whether a certain item is good. However, some reviews about items that contains stories (e.g. novels, movies, and computer games) have spoilers (undesirable descriptions of the story) as well as the opinions of review authors (reviewers). If users see a review involving spoilers, they might feel less interesting when you read or watch the item. We try to make a system that helps users see reviews without seeing plots.