|
|
|
| Mining Product Aspects from User Reviews----An SOM-based Approach |
| Yu Chuanming |
| (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China) |
|
|
|
|
Abstract This paper first analyzes the limitation of the existing methods of aspect identification. Then a novel method is presented which utilizes Self-organization map to identify the aspects from product reviews. A new SOM display named “Attribute Accumulative Matrix” is defined. In order to verify the validity of the method, we extract the product aspects from the restaurant reviews on a website. The experiment results show that this approach can effectively extract the product aspects.
|
|
Received: 04 February 2009
Published: 25 May 2009
|
|
|
|
Corresponding Authors:
Yu Chuanming
E-mail: yuchuanming2003@126.com
|
| About author:: Yu Chuanming |
| ［1］ Somasundaran S, Ruppenhofer J, Wiebe J. Detecting Arguing and Sentiment in Meetings［C］. In: Proceedings of Workshop on Discourse and Dialogue(SIGdial’2007), Antwerp, Belgium, September 2007:311-319.
［2］ Yang C, Lin K, and Chen H H. Emotion Classification Using Web Blog Corpora［C］. In: Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence(WI-IAT’2007), Silicon Valley, U.S.A. 2007:275-279.
［3］ Fung G P, Yu J X,Lu H. The Predicting Power of Textual Information on Financial Markets［J］.IEEE Intelligent Informatics Bulletin,2005,5(1):1-10.
［4］ Zhuang L, et al. Movie Review Mining and Summarization［C］.In: Proceedings of ACM International Conference on Information and Knowledge Management(CIKM’2006), Arlington, Virginia, U.S.A. 2006:1-7.
［5］ Hu M, Liu B. Mining and Summarizing Customer Reviews［C］. In: Proceeding of the 10th Knowledge Discovery and Data Mining Conference(KDD’2004), Seattle, WA, U.S.A. 2004:168-177.
［6］ Kim S. M, et al. Determining the Sentiment of Opinions［C］.In: Proceedings of the 20th International Conference on Computational Linguistics,Geneva, Switzerland. 2004:1-8.
［7］ Popescu A M，Etzioni O. Extracting Product Features and Opinions from Reviews［C］. In: Proceedings of Empirical Methods in Natural Language Processing(EMNLP’2005) ,Vancouver, B.C., Canada.2005:1-8.
［8］ Hofmann T. Probabilistic Latent Semantic Indexing［C］. In: Proceedings of the 22nd Annual International SIGIR Conference on Research and Development in Information Retrieval, California, U.S.A. 1999: 1-8.
［9］ Blei D M, Ng A Y, Jordan M I. Latent Dirichlet Allocation［J］. Journal of Machine Learning Research, 2003(3):993-1022.
［10］ Blei D. and Lafferty J. Correlated Topic Models［C］. In: Proceeding of the 20th Annual Conference on Neural Information Processing Systems, Vancouver, B.C., Canada.2006:1-8.
［11］ Kohonen T. Self-Organized Formation of Topologically Correct Teaturc Maps［J］. Biological Cybernetics, 1982,43(1):59-69.
［12］ Ultsch A. Maps for the Visualization of High-dimensional Data Spaces［C］. In: Proceedings of Workshop on Self-Organizing Maps (WSOM’2003), Hibikino, Kitakyushu, Japan. 2003:225-230.
［13］ 刘群等. 基于层叠隐马模型的汉语词法分析［J］.计算机研究与发展,2004(8):1421-1430.
［14］ About SOm Toolbox［EB/OL］. ［2008-10-16］http://www.cis.hut.fi/projects/somtoolbox/about.
［15］ SOM Toolbox［EB/OL］.［2008-10-16］http://www.cis.hut.fi/somtoolbox/package/docs2/som_norm_ variable.html.
［16］ Kohonen T. Self-Organizing Maps［M］ (3rd ed.). Berlin: Springer, 2001.
［17］ Stijn V L, Bert V C, Jeroen M, Bart W,et al. Prediction of Dose Escalation for Rheumatoid Arthritis Patients under Infliximab Treatment ［J］. Engineering Applications of Artificial Intelligence, 2006, 19(7): 819-828.
［18］ Kohonen T. Things you haven’t heard about the Self-Organizing Map［C］. In：Proceedings of International Conference on Neural Networks (ICNN’ 1993), San Francisco, U.S.A. 1993:1147-1156.
［19］ Goldensohn S B,Hannan K, McDonald R, et al. Building a Sentiment Summarizer for Local Service Reviews［C］.In： Proceedings of NLP Challenges in the Information Explosion Era (NLPIX’2008),Beijing, China. 2008:1-9. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
