Application for Product Features Extraction and Sentiment Analysis from Online User Reviews

被引：0

作者：

Li, Xue ^{[1
]}

Sun, Lei ^{[1
]}

机构：

[1] Xidian Univ, Sch Econ & Management, Xian 710000, Peoples R China

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ECONOMY, MANAGEMENT AND EDUCATION TECHNOLOGY | 2016年 / 62卷

关键词：

User reviews; product features; data mining; sentiment analysis;

D O I：

暂无

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

Based on the existing research results, the product reviews mining technology is applied in the analysis of competitive advantages of mobile phones in this paper. Taking iPhone SE and Galaxy S7 edge as the research objects, first, extract product features from the online reviews by FP-growth algorithm and rank them according to users attention. Subsequently, calculate the sentiment polarity of words. This paper ends with the advantages and disadvantages analysis of the competitive products, as well as the direction to improve. Some enlightenment from this paper to domestic consumer electronics business is expected.

引用

页码：1916 / 1921

页数：6

共 10 条

[1]

[Anonymous], IEEE DATA ENG B

[2]

Hu MQ, 2004, PROCEEDING OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE SIXTEENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE, P755

[3]

Ji Shunquan, 2015, J MODERN INFORM, V35, P114

[4]

[李实 LI Shi], 2009, [管理科学学报, Journal of Management Sciences in China], P142

[5]

Turney PD, 2002, 40TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, P417

[6]

Wang Yong, 2013, NEW TECHNOLOGY LIB I, P70

[7]

Wang Zhen-yu, 2012, Computer Engineering, V38, P187, DOI 10.3969/j.issn.1000-3428.2012.15.052

[8]

Yin Pei, 2016, J SYST MANAGE, V25, P103

[9]

Zhai Dongsheng, 2013, J INTELLIGENCE, V32, P45

[10]

Zhai Z., 2010, Proceedings of the 23rd International Conference on Computational Linguistics, P1272

← 1 →