Electronic word of mouth analysis for service experience

Mao Yuan Pai, Hui Chuan Chu, Su Chen Wang, Yuh Min Chen

研究成果: Article同行評審

23 引文 斯高帕斯(Scopus)

摘要

Since eWOM provides a rich source of objective information about products or services, it has become one of the major ways in which consumers collect information about items they are interested in buying. However, the problem of eWOM overload makes it difficult to effectively collect this information, and may have adverse effects on their actual purchase behavior. eWOM content is characterized by unstructured text formats, oversimplified expressions, and newly coined phrases (textspeak), and these all contribute to the challenges that arise when analyzing eWOM. This study thus proposes an eWOM analysis method for analyzing eWOM, which may lead to a more effective method for analyzing eWOM content, extracting both positive and negative appraisals, and help consumers in their decision making. At the same time, the method proposed in this study can also be utilized as a tool to assist companies in better understanding product or service appraisals, thus translating these opinions into business intelligence and as the basis for product/service improvements.

原文English
頁(從 - 到)1993-2006
頁數14
期刊Expert Systems With Applications
40
發行號6
DOIs
出版狀態Published - 2013 五月 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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