JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (1): 52-57.doi: 10.6040/j.issn.1671-9352.1.2015.062

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Research on classification for Chinese short film reviews

MA Li-fei, MO Qian*, DU Hui   

  1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
  • Received:2015-09-18 Online:2016-01-16 Published:2016-11-29

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Abstract: Aiming at the problems of film reviews that the sentences are short and characteristics matrix is sparse, a method using ontology to expand the matrix was proposed. Through comparison and analysis of traditional and developmental text classification methods, a suitable way for Chinese short film reviews classification was found. The experiment results proved that the decision tree is better than the SVM, Bayes and KNN in this essay, and the decision tree classifier was further used to classify the feature vectors of the ontology expanding. The results of experiment showed that the effect of Chinese short film reviews classification based on the ontology expanding was 3% higher than the traditional methods, and the classification accuracy reached 90.1%.

Key words: Chinese short film reviews, classification, decision tree, ontology

CLC Number: 

  • TP391
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