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A Picture Can Tell a Thousand Words: Understanding Visual Digital Contents of Chinese Restaurants

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dc.contributor.author Hasan, Rajibul
dc.contributor.author Abdunurova, Assem
dc.date.accessioned 2022-02-07T11:24:15Z
dc.date.available 2022-02-07T11:24:15Z
dc.date.issued 2020-09-03
dc.identifier.uri https://repository.almau.edu.kz/xmlui/handle/123456789/1806
dc.description.abstract In this era of Marketing 4.0, digital content seems very important in the culinary tourism. Before this era, restaurant managers used to utilise costly and time intensive survey to understand their consumers (Greenlaw and Brown-Welty, 2009). Specifically, Restaurant’s consumers are posting regarding their experience in the restaurant through different digital contents (Moe, Netzer, and Schweidel, 2017). However, there have been very little research done to investigate the visual digital content such as images or photos posted online. This research fills this gap by implementing image clustering to find out types of contents related to restaurants posted over the online. ru_RU
dc.language.iso en ru_RU
dc.publisher Zaragoza University ru_RU
dc.subject Image analysis, Text mining, Deep Learning, Restaurants, Digital consumer behavior ru_RU
dc.title A Picture Can Tell a Thousand Words: Understanding Visual Digital Contents of Chinese Restaurants ru_RU
dc.type Article ru_RU


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