Acquire job opportunities for chinese disabled persons based on improved text classification

Authors:
ShiLin Zhang;Mei Gu
Affiliations:
Faculty of Computer Science, Network and Information Management Center, North China University of Technology, Beijing, China;Faculty of Computer Science, Network and Information Management Center, North China University of Technology, Beijing, China
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Year:
2010

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Abstract

Text Classification is an important field of research There are a number of approaches to classify text documents However, there is an important challenge to improve the computational efficiency and recall In this paper, we propose a novel framework to segment Chinese words, generate word vectors, train the corpus and make prediction Based on the text classification technology, we successfully help the Chinese disabled persons to acquire job opportunities efficiently in real word The results show that using this method to build the classifier yields better results than traditional methods We also experimentally show that careful selection of a subset of features to represent the documents can improve the performance of the classifiers.