Text Matching and Categorization: Mining Implicit Semantic Knowledge from Tree-Shape Structures
Joint Authors
Guo, Lin
Zuo, Wanli
Peng, Tao
Yue, Lin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The diversities of large-scale semistructured data make the extraction of implicit semantic information have enormous difficulties.
This paper proposes an automatic and unsupervised method of text categorization, in which tree-shape structures are used to represent semantic knowledge and to explore implicit information by mining hidden structures without cumbersome lexical analysis.
Mining implicit frequent structures in trees can discover both direct and indirect semantic relations, which largely enhances the accuracy of matching and classifying texts.
The experimental results show that the proposed algorithm remarkably reduces the time and effort spent in training and classifying, which outperforms established competitors in correctness and effectiveness.
American Psychological Association (APA)
Guo, Lin& Zuo, Wanli& Peng, Tao& Yue, Lin. 2015. Text Matching and Categorization: Mining Implicit Semantic Knowledge from Tree-Shape Structures. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074581
Modern Language Association (MLA)
Guo, Lin…[et al.]. Text Matching and Categorization: Mining Implicit Semantic Knowledge from Tree-Shape Structures. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1074581
American Medical Association (AMA)
Guo, Lin& Zuo, Wanli& Peng, Tao& Yue, Lin. Text Matching and Categorization: Mining Implicit Semantic Knowledge from Tree-Shape Structures. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074581
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074581