Paper Title:
Class Hierarchical Structure-Based Text Classification
  Abstract

There is a problem that the difficulty in text classification will increase when the number of classes increases, to which hierarchical structure is a viable solution. Well, a document’s hierarchical structure is usually maintained only by hand, which require substantial manpower to find the correct position of a document in the class hierarchy or to reconstruct the hierarchy. Constructing the hierarchical structure automatically by clustering the training samples can effectively reduce the cost of manual maintenance, and at the same time, it can avoid the conflict between the prior knowledge and the statistical properties of the sample set caused by artificial maintenance of the hierarchy.

  Info
Periodical
Advanced Materials Research (Volumes 255-260)
Edited by
Jingying Zhao
Pages
2233-2237
DOI
10.4028/www.scientific.net/AMR.255-260.2233
Citation
X. Y. Chen, J. H. Chen, "Class Hierarchical Structure-Based Text Classification", Advanced Materials Research, Vols. 255-260, pp. 2233-2237, 2011
Online since
May 2011
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Price
$32.00
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