Ontology Relation Based Construction Algorithm of Characteristics Level
In the Chinese opinion mining, the relevant scholars will focus on how to accurately receive the semantic emotion of opinion word as their breakthrough points, but the accurate access to features and characteristics of the relationship between the relatives were few studied. Correlation level analysis of characteristics will play an important role in the following semantic emotion analysis and understanding of the entire review. This paper describes the different concepts and definitions of ontology and characteristics level, and analyzes the existing construction algorithm of characteristics level. Finally, in the comments on the past different Chinese corpus, the word-level feature extraction algorithm proposed an improved method. After the analysis of specific grammatical structure in Chinese, the algorithm finds whether there are different characteristics of hierarchical relationships between the words with specific grammatical structures and Chinese internet commercial searching engine results.
KeywordsOntology Data mining Characteristics level Algorithm
This paper is supported by Research Project of Education Department in Guangxi (201010LX455).
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