A Revised Lexical Approach for Analyzing Online Reviews

被引：0

作者：

Fang, Xiaowen ^{[1
]}

Zhao, Fan ^{[2
]}

机构：

[1] Depaul Univ, Sch Comp, Chicago, IL 60604 USA

[2] Florida Gulf Coast Univ, Lutgert Coll Business, Ft Myers, FL USA

来源：

HUMAN-COMPUTER INTERACTION: THEORIES, METHODS, AND TOOLS, PT I | 2014年 / 8510卷

关键词：

lexical approach; content analysis; qualitative research; online reviews; PERSONALITY-FACTORS;

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：

Inspired by the lexical approach used by psychologists to study personality traits, this paper proposes a revised version of this approach for analyzing online reviews. The lexical approach is based on a lexical hypothesis stating that personality traits are reflected in the adjectives invented by people to describe them. The revised lexical approach contains five steps: collecting online reviews, parsing adjectives, extracting consumer/user observations, factor analysis, and exploring factors/patterns. The paper elaborates each of these steps. It further discusses implications of this new approach.

引用

页码：69 / 76

页数：8

共 8 条

[1]

Ashton M.C., 2007, Individual differences and personality

[2] Use, misuse, and abuse of content analysis for research on the consumer interest [J].