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New Technology of Library and Information Service  2016, Vol. 32 Issue (10): 25-32    DOI: 10.11925/infotech.1003-3513.2016.10.03
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Evaluation Ontology Research and Rule Implementation
Zhou Hongzhao(),Hou Min,Teng Yonglin
Broadcast Media Language Branch, National Language Resources Monitoring and Research Center, Communication University of China, Beijing 100024, China
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[Objective] This study aims to build an evaluation analysis intelligent system consisting of evaluation sentences recognition, polarity identification and evaluation objects extraction. [Methods] We first researched Chinese evaluation Ontology. Then, established an evaluation analysis rule base based on the results of Ontology research. Finally, programmed into evaluation analysis intelligent system CUCsas. [Results] Taking 50,000 weibo messages (a total of 133,201 sentences) released by the 7th Chinese Opinion Analysis Evaluation Conference (COAE2015) as the experimental data, the precision, recall and F rates of evaluation sentences recognition and polarity identification of CUCsas were 0.83, 0.70 and 0.76 respectively, but the experimental result of evaluation objects extraction was poor. [Limitations] The system was short of new evaluation factors discovery and domain lexicons automatic construction modules. [Conclusions] A practical evaluation analysis intelligent system was basically built.

Key wordsEvaluation ontology      Evaluation sentences recognition      Polarity identification      Rule method      Evaluation objects extraction     
Received: 16 May 2016      Published: 23 November 2016

Cite this article:

Zhou Hongzhao,Hou Min,Teng Yonglin. Evaluation Ontology Research and Rule Implementation. New Technology of Library and Information Service, 2016, 32(10): 25-32.

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