MINING TEXTS TO UNDERSTAND CUSTOMERS' IMAGE OF BRANDS
DOI:
https://doi.org/10.7903/ijecs.1122Keywords:
Text mining, customer sentiments, semantic network analysis, social network servicesAbstract
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.
To cite this document: Hyung Jun Ahn, "Mining texts to understand customers' image of brands", International Journal of Electronic Commerce Studies, Vol.4, No.1, pp.131-134, 2013.
Permanent link to this document: http://dx.doi.org/10.7903/ijecs.1122
