An Classifying Approach Based on Fuzzy Cognitive Maps

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Abstract:

Consumer reviews have been considered as a golden mine which can be used to analysis consumers preferences, attitudes and opinions about products or services or online stores. How to exploit this mine effectively has attracted researchers attention. In this paper, a new classification method based on fuzzy cognitive maps is proposal. The experience results showed the approach is more effective way of classifying Chinese reviews based on calculating the precision rate and the recall rate.

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1651-1654

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March 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Hu M, Liu B. Mining Opinion Features in Customer Reviews. In AAAI ( 2004), 755-760.

Google Scholar

[2] Liu B, Hu M. Q, Cheng J.S. Opinion Observer Analyzing and Comparing Opinions The Web. Proceedings of The 14th International World Wide Web Conference (2005), pp.342-351.

DOI: 10.1145/1060745.1060797

Google Scholar

[3] Kobayashi N, Inui K, Matsumoto Y. Collecting Evaluative Expressions for Opinion Extraction. In Proceedings of The 1st International Joint Conference on Natural Language Processing (2004), pp.584-589.

Google Scholar

[4] Ye Q, Shi W, Li Y.J. Sentiment Classification for Movie Reviews in Chinese by Proved Semantic Oriented Approach. Proceedings of the 39th Annual Hawaii International Conference on System Sciences (2006), pp.1-5.

DOI: 10.1109/hicss.2006.432

Google Scholar

[5] Liu J, Wu G, Yao J. Opinion Searching in Multi-product Reviews. Proceedings of The 6th IEEE International Conference on Computer and Information Technology (2006), p.25.

Google Scholar

[6] Popescu A. M, Etzion O. Extracting Product Features and Opinions From Reviews. In Proceedings of HLT-EMNLP (2005), pp.339-346.

DOI: 10.3115/1225733.1225750

Google Scholar

[7] Zhang dezheng, Zhang pingping. Unstructured Information Management. Computer Information Vol. 22 (2006), pp.218-220.

Google Scholar

[8] Zhang zhengjie, Wang ziqiang. Description of Text Classification and Algorithm. Computer Knowledge and Technology Vol. 4 (2012), pp.22-24.

Google Scholar

[9] Turney P, Pantel P. From Frequency to Meaning: Vector Space Models of Semantics. Journal of Artificial Intelligence Research Vol. 37 (2010), pp.141-188.

DOI: 10.1613/jair.2934

Google Scholar