Enhancement of DTP feature selection method for text categorization

被引：0

作者：

Moyotl-Hernández, E ^{[1
]}

Jiménez-Salazar, H ^{[1
]}

机构：

[1] Univ Autonoma Puebla, Fac Ciencias Comp, Puebla 72570, Mexico

来源：

COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING | 2005年 / 3406卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper studies the structure of vectors obtained by using term selection methods in high-dimensional text collection. We found that the distance to transition point (DTP) method omits commonly occurring terms, which are poor discriminators between documents, but which convey important information about a collection. Experimental results obtained on the Reuters-21578 collection with the k-NN classifier show that feature selection by DTP combined with common terms outperforms slightly simple document frequency.

引用

页码：719 / 722

页数：4

共 50 条

[1] A hybrid feature selection method for text categorization
Montanes, E.
Quevedo, J. R.
Combarro, E. F.
Diaz, I.
Ranilla, J.
[J]. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2007, 15 (02) : 133 - 151
[2] An Effective Feature Selection Method for Text Categorization
Qiu, Xipeng
Zhou, Jinlong
Huang, Xuanjing
[J]. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT I: 15TH PACIFIC-ASIA CONFERENCE, PAKDD 2011, 2011, 6634 : 50 - 61
[3] A discriminative and semantic feature selection method for text categorization
Zong, Wei
Wu, Feng
Chu, Lap-Keung
Sculli, Domenic
[J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 165 : 215 - 222
[4] Comparison and Improvement of feature selection method for text categorization
Shan, Li-Li
Liu, Bing-Quan
Sun, Cheng-Jie
[J]. Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2011, 43 (SUPPL. 1): : 319 - 324
[5] Feature Selection Method Based on Crossed Centroid for Text Categorization
Yang, Jieming
Liu, Zhiying
Qu, Zhaoyang
Wang, Jing
[J]. 2014 15TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD), 2014, : 11 - 15
[6] A New Feature Selection Method for Text Categorization of Customer Reviews
Liu, Miao
Lu, Xiaoling
Song, Jie
[J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2016, 45 (04) : 1397 - 1409
[7] Improved Comprehensive Measurement Feature Selection Method for Text Categorization
Feng, LiZhou
Zuo, WanLi
Wang, YouWei
[J]. 2015 INTERNATIONAL CONFERENCE ON NETWORK AND INFORMATION SYSTEMS FOR COMPUTERS (ICNISC), 2015, : 125 - 128
[8] Trigonometric comparison measure: A feature selection method for text categorization
Kim, Kyoungok
Zzang, See Young
[J]. DATA & KNOWLEDGE ENGINEERING, 2019, 119 : 1 - 21
[9] A two-stage feature selection method for text categorization
Meng, Jiana
Lin, Hongfei
Yu, Yuhai
[J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2011, 62 (07) : 2793 - 2800
[10] Feature selection in SVM text categorization
Taira, H
Haruno, M
[J]. SIXTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-99)/ELEVENTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE (IAAI-99), 1999, : 480 - 486

← 1 2 3 4 5 →