题名

Mining Texts to Understand Customers' Image of Brands

DOI

10.7903/ijecs.1122

作者

Hyung Jun Ahn

关键词

Text Mining ； Customer Sentiments ； Semantic Network Analysis ； Social Network Services

期刊名称

International Journal of Electronic Commerce Studies

卷期/出版年月

4卷1期（2013 / 06 / 01）

页次

131 - 134

内容语文

英文
英文摘要

Text mining is becoming increasingly important in understanding customers and markets these days. This paper presents a method of mining texts about customer sentiments using a network analysis technique. A data set collected about two global mobile device manufactures were used for testing the method. The analysis results show that the method can be effectively used to extract key sentiments in the customers' texts.
主题分类 基礎與應用科學 > 資訊科學
社會科學 > 經濟學
社會科學 > 財金及會計學
社會科學 > 管理學
参考文献
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