A Review of Recent Aspect Extraction Techniques for Opinion Mining Systems

被引：0

作者：

Dalila, Bouras ^{[1
]}

Mohamed, Amroune ^{[1
]}

Bendjanna, Hakim ^{[1
]}

机构：

[1] Univ Larbi Tebessi, Lab Math Informat & Syst LAMIS, Tebessa 12000, Algeria

来源：

2018 2ND INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE AND SPEECH PROCESSING (ICNLSP) | 2018年

关键词：

Opinion mining; sentiment analysis; aspect extraction; Arabic; PRODUCT FEATURE-EXTRACTION; FEATURES; DOMAIN;

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：

Aspect extraction is the most vital and extensively explored phase of opinion mining (OM) to carry out the classification of sentiments in precise manners. The purpose of this paper is not only a comprehensive analysis for the different aspect extraction techniques and the approaches in English but also to highlight on major recent work that have deal with this research area in the Arabic language.

引用

页码：90 / 95

页数：6

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