Adaptive Neuro-Fuzzy Inference System for Classification of Texts

被引：12
|
作者：
Kamil, Aida-zade [1 ]
Rustamov, Samir [2 ]
Clements, Mark A. [3 ]
Mustafayev, Elshan [1 ]
机构：
[1] Inst Control Syst, Baku, Azerbaijan
[2] ADA Univ, Inst Control Syst, Baku, Azerbaijan
[3] Georgia Inst Technol, Atlanta, GA 30332 USA
来源：
RECENT DEVELOPMENTS AND THE NEW DIRECTION IN SOFT-COMPUTING FOUNDATIONS AND APPLICATIONS | 2018年 / 361卷
关键词：
D O I：
10.1007/978-3-319-75408-6_6
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this work, we applied Adaptive Neuro-Fuzzy Inference System to three different classification problems: (1) sentence-level subjectivity detection, (2) sentiment analysis of texts, and (3) detecting user intention in natural language call routing system. We used English dataset for the first and second problems, but Azerbaijani dataset for the third problem based on same features. Our feature extraction algorithm calculates a feature vector based on the statistical occurrences of words in a corpus without any lexical knowledge.
引用
收藏
页码：63 / 70
页数：8
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