Improving Farsi multiclass text classification using a thesaurus and two‐stage feature selection
暂无分享,去创建一个
[1] Gary Geunbae Lee,et al. Information gain and divergence-based feature selection for machine learning-based text categorization , 2006, Inf. Process. Manag..
[2] Shi Bing,et al. Inductive learning algorithms and representations for text categorization , 2006 .
[3] Steffen Staab,et al. WordNet improves text document clustering , 2003, SIGIR 2003.
[4] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[5] Heshaam Faili,et al. Classification of Persian textual documents using learning vector quantization , 2009, 2009 International Conference on Natural Language Processing and Knowledge Engineering.
[6] Yi Liu,et al. FS_SFS: A novel feature selection method for support vector machines , 2006, Pattern Recognit..
[7] Yiming Yang,et al. An Evaluation of Statistical Approaches to Text Categorization , 1999, Information Retrieval.
[8] Luis M. de Campos,et al. Bayesian network models for hierarchical text classification from a thesaurus , 2009, Int. J. Approx. Reason..
[9] Jian Hu,et al. Using Wikipedia knowledge to improve text classification , 2009, Knowledge and Information Systems.
[10] Evgeniy Gabrilovich,et al. Feature Generation for Text Categorization Using World Knowledge , 2005, IJCAI.
[11] Hinrich Schütze,et al. A comparison of classifiers and document representations for the routing problem , 1995, SIGIR '95.
[12] David D. Lewis,et al. A comparison of two learning algorithms for text categorization , 1994 .
[13] Ron Kohavi,et al. Irrelevant Features and the Subset Selection Problem , 1994, ICML.
[14] Tai-Yue Wang,et al. Fuzzy support vector machine for multi-class text categorization , 2007, Inf. Process. Manag..
[15] Yoko Ino,et al. Extracting Common Concepts from WordNet to Classify Documents , 2005, Artificial Intelligence and Applications.
[16] Andrew McCallum,et al. A comparison of event models for naive bayes text classification , 1998, AAAI 1998.
[17] Yiming Yang,et al. A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.
[18] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[19] Xin Song,et al. Research of Chinese Text Classification Methods Based on Semantic Vector and Semantic Similarity , 2009, 2009 International Forum on Computer Science-Technology and Applications.
[20] M. Aizerman,et al. Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning , 1964 .
[21] Stephan Bloehdorn,et al. Boosting for Text Classification with Semantic Features , 2004, WebKDD.
[22] Yiming Yang,et al. Expert network: effective and efficient learning from human decisions in text categorization and retrieval , 1994, SIGIR '94.
[23] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[24] Andreas S. Weigend,et al. A neural network approach to topic spotting , 1995 .
[25] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..
[26] Masoud Rahgozar,et al. Farsi Text Classification Using N-Grams and Knn Algorithm A Comparative Study , 2008, DMIN.
[27] José Ranilla,et al. Improving performance of text categorization by combining filtering and supportvector machines , 2004, J. Assoc. Inf. Sci. Technol..
[28] Gerard Salton,et al. A vector space model for automatic indexing , 1975, CACM.
[29] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.