Title :
Using SOM to Mine Product Features from Free-Text Customer Reviews
Author :
Yu, Chuanming ; An, Lu ; Zhang, Xiaoqing
Author_Institution :
Bus. Sch., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Abstract :
This study examines how the Self-Organizing Map (SOM) technique can be used to identify product features from free-text customer reviews. A novel SOM display named ¿Attribute Accumulative Matrix¿ is presented. To verify the validity of the proposed approach, 22157 restaurant reviews are collected and product features of catering industry are identified. The experiment results show that this approach can effectively identify the product features.
Keywords :
catering industry; data mining; feature extraction; natural language processing; self-organising feature maps; attribute accumulative matrix; catering industry; free-text customer reviews; product feature mining; restaurant reviews; self-organizing map technique; Displays; Feature extraction; Humans; Information analysis; Information management; Internet; Motion pictures; Natural language processing; Negative feedback; Speech processing; Attribute Accumulative Matrix; Customer Reviews; Opinion Mining; Product Feature Identification; Self-Organization Map;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.359
