Text representation combining syntax in vector space model

被引：0
|
作者：
Liu P.-Y. [1 ,2 ]
Yang Y.-Z. [1 ,2 ]
Zhao J. [1 ,2 ]
机构：
[1] School of Information Science and Engineering, Shandong Normal University
[2] Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology
来源：
Advances in Information Sciences and Service Sciences | 2011年 / 3卷 / 07期
关键词：
Feature item; Phrase; Syntactic cues;
D O I：
10.4156/aiss.vol3.issue7.30
中图分类号：
学科分类号：
摘要：
In order to improve the semantic description of items in SVM, and overcome the defect that semantic units are independent of each other, this paper proposed a feature granulation description method based on phrases. This method refered to text representation and organization among feature items, identified base phrases through syntactic cues, and built the relation tree which contained feature items and head verb, then replaced words in BOW with base phrases. Experimental results indicates that the new approach improves the performance of the classifier, increases the relationship between terms, overcomes the defect of mutual independence between feature items, and keeps favourable effect even if the number of feature items is small.
引用
收藏
页码：251 / 259
页数：8
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