Title :
Research of Product Ranking Technology Based on Opinion Mining
Author :
Tian, Peiliang ; Liu, Yuanchao ; Liu, Ming ; Zhu, Shanzong
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
Abstract :
Since more and more users express their reviews on the Web, opinion mining becomes much important. Polarity analyzing and opinion mining is the process of automatically mining polarity and opinion with computer technology. This paper focuses on mining opinion of Chinese review sentences, obtaining comprehensive evaluation of product and ranking product in some feature or in all features. Methods are introduced to mine opinion by natural language processing techniques. Product-features that users show interest in will be extracted by searching in ontology, polarity strength will be separated into static polarity and dynamic polarity to compute by searching in polarity lexicon and polarity strength will be mapped to features by using syntactic parser.
Keywords :
data mining; grammars; natural language processing; comprehensive product evaluation; computer technology; natural language processing techniques; opinion mining; polarity analyzing; polarity lexicon; polarity strength; product ranking technology; syntactic parser; Automation; Computer science; Data analysis; Data mining; Feedback; Feeds; Manufacturing; Natural language processing; Ontologies; Prototypes; data mining; opinion mining; product ranking; semantic analysis;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.773
