Text Mining e-Complaints Data From e-Auction Store With Implications For Internet Marketing Research

Main Article Content

Kuan C. Chen

Keywords

Text data mining, Cluster analysis, Association rules, e-Auction

Abstract

This study seeks to analyze the effectiveness of the text mining process.  Complaint forums on various consumer report websites will be analyzed using text and data mining software.  Data from feedback forums will be compiled and analyzed using a text miner software program.  The relationships and patterns among keywords and their associations will be cluster-analyzed to gain a deeper understanding of the data. A case study will also be conducted to assay the effectiveness of text mined.  The data of Internet complaint forum, http://www.planetfeeback.com, will be text mined.  The decision to use an Internet complaint forum as the case subject was made because of its easy access and reputation as storage medium for large sources of data.  The main goal of this study is to gauge the effectiveness of text mining.  The complaint forum will be text mined to find relationships.  The results will then be analyzed and then interpreted to determine the effectiveness of the text and data mining process.    

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