Using Improved Text Classification Technique to Acquire Job Opportunities for Disabled Persons
Using Improved Text Classification Technique to Acquire Job Opportunities for Disabled Persons
出处
《通讯和计算机(中英文版)》
2010年第3期44-49,共6页
Journal of Communication and Computer
参考文献10
-
1Y. Yang, Expert network: effective and efficient learning from human decisions in text categorization and retrieval, in: 17th Annual International ACM SIGIR Conference on Re-search and Development in Inlbrmation Retrieval, 1994, pp. 13-22.
-
2A. McCallum, K. Nigam, A comparison of event models for haive bayes text classification, in: AAA-98 Workshop on Learning for Text Categorization, 1998.
-
3C. Apte, F. Damerau, S. Weiss. Text mining with decision rules and decision trees, in: Proceedings of Conference on Automated Learning and Discovery, Workshop 6: Learning from Text and the Web. 1998.
-
4H.T. Ng, W.B. Goh, K.L. Low, Feature selection, perception learning, and a usability case study for text categorization, in: 20th Ann lnt ACM SIGIR Conference on Research and Development in Information Retrieval, 1997, pp. 67-73.
-
5S. Dumais, J. Platt, D. Heckerman, M. Sahami, Inductive learning algorithms and representations for text categorization, in: Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, 1998, pp. 148-155.
-
6Y. Yang, C.G. Chute, An example-based mapping method for text categorization and retrieval, ACM Transaction on Information Systems 12 (1994) 252-277.
-
7G.L. Gentili, M. Marinilli, A. Micarelli, F. Sciarrone, Text categorization in an intelligent agent for filtering information on the Web, International Journal of Pattern Recognition and Aritificial Intelligence 15 (2002) 527-549.
-
8S. Wermeter, Neural network agents for learning semantic text classification, Information Retrieval 3 (2000) 87-103.
-
9E.M. Ruiz, P. Srinivasan, Hierarchical text categorization using neural networks, Information Retrieval 5 (2002) 87-118.
-
10R.A. Calvo, H.A. Ceccatto, Intelligent document classification, Intelligent Data Analysis 4 (2000) 411-420.
-
1ZHONG Jiang,SUN Qigan,LI Xue,WEN Luosheng.A Novel Feature Selection Method Based on Probability Latent Semantic Analysis for Chinese Text Classification[J].Chinese Journal of Electronics,2011,20(2):228-232. 被引量:11
-
2Huazhen Gu Kuanjiu Zhou.Text Classification Based on Domain Ontology[J].通讯和计算机(中英文版),2006,3(5):29-32. 被引量:5
-
3刘石竹,胡和平.Text Classification Using Sentential Frequent Itemsets[J].Journal of Computer Science & Technology,2007,22(2):334-336.
-
4丛帅,张积宾,徐志明,王宇颖.Feature selection algorithm for text classification based on improved mutual information[J].Journal of Harbin Institute of Technology(New Series),2011,18(3):144-148. 被引量:1
-
5GUAN Jihong,ZHOU Shuigeng.Online Text Classification[J].Chinese Journal of Electronics,2006,15(1):21-26.
-
6Rafael Geraldeli Rossi,Alneu de Andrade Lopes,Thiago de Paulo Faleiros,Solange Oliveira Rezende.Inductive Model Generation for Text Classification Using a Bipartite Heterogeneous Network[J].Journal of Computer Science & Technology,2014,29(3):361-375. 被引量:1
-
7张云涛,龚玲,王永成.An improved TF-IDF approach for text classification[J].Journal of Zhejiang University-Science A(Applied Physics & Engineering),2005,6(1):49-55. 被引量:5
-
8刘丽珍,宋瀚涛,陆玉昌.Dimensionality Reduction by Mutual Information for Text Classification[J].Journal of Beijing Institute of Technology,2005,14(1):32-36. 被引量:2
-
9刘宏,屠轶清,黄上腾.一种新的支持向量机主动学习策略及其在文本分类中的应用[J].计算机科学,2003,30(6):110-112. 被引量:4
-
10ZHOU Ying.Application of the probability-based covering algorithm model in text classification[J].Chinese Journal of Library and Information Science,2009(4):1-17.