| Authors | Alireza Abbasi Gorji-Saba Hedayatifar |
|---|---|
| Journal | Media Scientific Quarterly |
| Dor Code | dor: 20.1001.1.10227180.1397.29.4.7.3 |
| Paper Type | Original Research |
| Published At | ۲۰۱۹ |
| Journal Grade | Scientific - research |
| Journal Type | Electronic |
| Journal Country | Iran, Islamic Republic Of |
| Keywords | Advertising slogans, online stores, text mining, Clustering, K-means |
Abstract
Since most businesses today use online stores to offer their products in order to manage their customers more efficiently and easily, analyzing the text of their advertising slogans, which are also a manifestation of their mission statement, is of great importance. In this study, the text of advertising slogans of top companies in Iran and abroad, including 29 attractive slogans of domestic online stores and 24 attractive slogans of foreign online stores, were examined using text mining techniques to pre-process the texts and combine it with the clustering method and the k-means algorithm to place them in separate clusters, and finally using the MADM multi-attribute decision-making technique to identify the most important roots in each cluster, in order to identify the content of the slogans and also reveal the differences and similarities between these two orientations. By comparing domestic and foreign clusters, it was determined that domestic companies focus more on concepts such as product and generalization, and foreign companies on concepts such as customer attention.
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