Aspect Extraction in Customer Reviews Using Syntactic Pattern

被引：25

作者：

Maharani, Warih ^{[1
]}

Widyantoro, Dwi H. ^{[1
]}

Khodra, Masayu Leylia ^{[1
]}

机构：

[1] Bandung Inst Technol, Bandung, Indonesia

来源：

INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMPUTATIONAL INTELLIGENCE (ICCSCI 2015) | 2015年 / 59卷

关键词：

aspect extraction; opinion mining; syntactic pattern; SENTIMENT CLASSIFICATION;

D O I：

10.1016/j.procs.2015.07.545

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 an important step in opinion mining, to generate list of object, aspect and its opinions. Therefore, previous studies still give an opportunity to find the pattern of an aspect and opportunities in terms of aspect extraction performance. This paper propose syntactic pattern based on features observation to extract aspects from unstructured review, accompanied with a comprehensive analysis of varied pattern. This paper also provides some technical issues that arise based on performance evaluation and analysis using syntactic pattern extraction. The experimental results showed that the syntactic pattern approach had several weaknesses that need to be improved. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：244 / 253

页数：10

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