A Latent Semantic Analysis-based Approach to Geographic Feature Categorization from Text

被引：0
|
作者：
Huang, Yuxia [1 ]
机构：
[1] Texas A&M Univ Corpus Christi, Dept Comp Sci, Corpus Christi, TX 78412 USA
来源：
FIFTH IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2011) | 2011年
关键词：
Geographic feature; categorization; latent semantic analysis; ONTOLOGY; NETWORK;
D O I：
10.1109/ICSC.2011.15
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Geographic feature categorization from text addresses the need for querying and finding geographic features from text documents. Although many text classification techniques have been developed, there are limitations to apply to geographic features due to the uniqueness of the geography features. In this paper we propose a method to classify geographic features based on latent semantic analysis and domain knowledge. The empirical experiment indicates that the proposed method achieves satisfactory categorizing effectiveness.
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页码：87 / 94
页数：8
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