The Open Cybernetics & Systemics Journal

2014, 8 : 474-478
Published online 2014 December 31. DOI: 10.2174/1874110X01408010474
Publisher ID: TOCSJ-8-474

Recognition of Chinese Entertainment News Words Using SVM-based Active Learning Strategy

Cao Jianfang , Chen Lichao and Wang Huijun
Heping West Street, Xinzhou, China. Postcard: 034000.

ABSTRACT

The recognition of Chinese entertainment news words is an important task for Chinese information processing. In order to solve the problem of recognizing the Chinese entertainment news words, a SVM-based method has been introduced in this paper, which uses active leaning strategy. It selects new instances, incrementally, to be labeled and included in its training set to form an incremental course of learning. The results of the test show that the method is efficient and the precision and recall of entertainment news words recognition achieved are 78.92% and 86.42%, respectively. The method in this paper has gained good effect.

Keywords:

Entertainment news words, Machine learning, SVM algorithm, SVM-Based active learning strategy, Text classification.