Since 2014
MINING TEXTS TO UNDERSTAND CUSTOMERS' IMAGE OF BRANDS
International Journal of Electronic Commerce Studies
View Archive Info| Field | Value | |
| Title |
MINING TEXTS TO UNDERSTAND CUSTOMERS' IMAGE OF BRANDS
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| Creator |
Ahn, Hyung Jun; Hongik University
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| Subject |
Text mining; customer sentiments; semantic network analysis; social network services
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| Description |
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
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| Publisher |
Academy of Taiwan Information Systems Research
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| Contributor |
—
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| Date |
2013-06-25
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — — |
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| Format |
application/pdf
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| Identifier |
http://academic-pub.org/ojs/index.php/ijecs/article/view/1122
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| Source |
International Journal of Electronic Commerce Studies; Vol 4, No 1 (2013); 131-134
2073-9729 |
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| Language |
eng
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| Relation |
http://academic-pub.org/ojs/index.php/ijecs/article/view/1122/152
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| Rights |
Copyright (c) 2014 International Journal of Electronic Commerce Studies
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