Advanced Data Mining and Applications: 9th International by Lishan Cui, Xiuzhen Zhang, Yan Wang, Lifang Wu (auth.),

By Lishan Cui, Xiuzhen Zhang, Yan Wang, Lifang Wu (auth.), Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang (eds.)

The two-volume set LNAI 8346 and 8347 constitutes the completely refereed court cases of the ninth overseas convention on complicated info Mining and functions, ADMA 2013, held in Hangzhou, China, in December 2013.
The 32 average papers and sixty four brief papers offered in those volumes have been rigorously reviewed and chosen from 222 submissions. The papers incorporated in those volumes conceal the next subject matters: opinion mining, habit mining, information flow mining, sequential facts mining, net mining, picture mining, textual content mining, social community mining, type, clustering, organization rule mining, trend mining, regression, predication, function extraction, id, privateness protection, purposes, and computer learning.

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Additional info for Advanced Data Mining and Applications: 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I

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3 (1995) 14. : Matrix factorization techniques for recommender systems. Computer (2009) 15. : Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers (2012) 16. : Rated aspect summarization of short comments. In: Proc. WWW (2009) 17. : Extracting and visualizing trust relationships from online auction feedback comments. In: Proc. IJCAI, pp. 2826–2831 (2007) 18. : A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts.

Trends Inf. Retr. 2(1-2), 1–135 (2008) 20. : An algorithm for suffix stripping. Program: Electronic Library and Information Systems 14(3) (1980) 21. : Reputation Systems: Facilitating Trust in Internet Interactions. Communications of the ACM 43, 45–48 (2000) 22. : Sentiment strength detection in short informal text. Journal of the American Society for information Science 61(12), 2544–2558 (2010) 23. : Semantic orientation applied to unsupervised classification of reviews. In: Proc. ACL, pp. 417–424 (2002) 24.

The effectiveness of the lexicons was evaluated by using them to predict the sentiment attitude associated with a set of test speeches (drawn from further UK House of Commons debates). 0). All approaches considered were less effective at predicting negative attitudes for reasons that are unclear thus providing a interesting avenue for further research. References 1. : A framework for automated corpus generation for semantic sentiment analysis. In: Proc. World Congress on Engineering (WCE 2012), pp.

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