Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Opinion mining from noisy text data
Proceedings of the second workshop on Analytics for noisy unstructured text data
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
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Increasing Internet users and generalization of internet brought many changes to our Society. One of the most important changes is internet media start to provide their contents to people who have internet connection and these people express their opinions about UCC/Internet Articles as reply/comment after they read it. Replies/Comments written by users are from many different age groups which various opinions exist and these opinions are very useful for marketing in business or politician. However, collecting and analyzing opinions of users manually costs very high amount of money and a lot of labor. Therefore, this paper proposes a new method to extract opinions from reply or comment and to summarize extracted opinions to provide reputation of person/product in which we are interested.