Research on Text Classification Algorithm of Largest Dispersion Based on Term Frequency
In order to achieve a document in accordance with the contents of the page automatic classification, put forward the largest dispersion of text classification algorithm based on the term frequency. The algorithm using backward term frequency algorithm for the ntypes typical texts confirm the scientific and effective characteristics set of n-types ; rely on it, getting the classification values of webpage documents in the n-types characteristics set through adopt to the largest dispersion algorithm, getting the largest dispersion after dispersion comparison; and then compared the largest dispersion value with relative threshold, if the value is larger than the threshold, it is the type of webpage documents, but if the value is smaller than the threshold, the judgement about the type of document is invalid. The algorithm has good robustness and easy-to-use, which is very effective for the large-scale data of small documents.
text classification algorithm the largest dispersion algorithm retrospect term frequency algorithm the characteristics set
An Junxiu Jin Yuchang
School of Software Engineering, Chengdu University of Information Technology(CUIT), Chengdu, 610025, School of Culture and Social Development, Southwest University, Chongqing, China The College of Info
国际会议
重庆
英文
400-403
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）