New Feature Selection Method of Uyghur Text Classification
Journal Title: 河南科技大学学报（自然科学版） - Year 2016, Vol 37, Issue 3
Abstract
In order to deal with the insufficient consideration of the traditional chi-square statistic method in thefrequency and category distribution of feature items,a new Chi-square statistic feature selection method combined with the cosine similarity was proposed. Firstly,the mean term frequency-inverse document frequency( TF-IDF) was used to represent the features,and the selected feature items was balanced by introducing a adjustment formula. Thus the traditional chi-square statistic method was modified. Then the noise text was eliminated further by cosine similarity. Finally,a demonstration experiment was established on the collected Uyghur data set. The results show that the improved chi-square test method has better robustness. The classification performance is superior to the traditional chi-square statistic method.
Authors and Affiliations
Yan HE, HALIDAN• Abudureyimu, ALIYA• Aierken, Bingbing WU
Keywords
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- EP ID EP461277
- DOI 10.15926/j.cnki.issn1672-6871.2016.03.010
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