Word association norms, mutual information, and lexicography
Computational Linguistics
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
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
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
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A holistic lexicon-based approach to opinion mining
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
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There is an exponential growth in user-generated contents in the form of customer reviews on the Web But, most of the contents are stored in either unstructured or semi-structured format due to which distillation of knowledge from this huge repository is a challenging task In addition, on analysis we found that most of the users use fuzzy terms instead of crisp terms to express opinions on product features Considering these facts, in this paper, we present an opinion-based query answering framework which mines product features and opinionated words to handle user queries over review documents The proposed framework uses BK-FIRM (Bandler-Kohout Fuzzy Information Retrieval Model) that facilitates the formulation of imprecise queries using linguistic qualifiers, retrieves relevant opinion documents, and presents them in the order of their degree of relevance The efficacy of the system is established through experiments over customer reviews on different models of digital camera, and mp3 player.