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Mining texts to understand customers' image of brands
- Authors
- Ahn, H.J.
- Issue Date
- 2013
- Keywords
- Customer sentiments; Semantic network analysis; Social network services; Text mining
- Citation
- International Journal of Electronic Commerce Studies, v.4, no.1, pp.131 - 134
- Journal Title
- International Journal of Electronic Commerce Studies
- Volume
- 4
- Number
- 1
- Start Page
- 131
- End Page
- 134
- ISSN
- 2073-9729
- Abstract
- 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.
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Related Researcher
- Ahn, Hyung Jun
- Business Administration (Business Administration)