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

dc.contributor.authorHasan, Rajibul
dc.contributor.authorAbdunurova, Assem
dc.date.accessioned2022-02-07T11:24:15Z
dc.date.available2022-02-07T11:24:15Z
dc.date.issued2020-09-03
dc.description.abstractIn 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.identifier.urihttps://repository.almau.edu.kz/xmlui/handle/123456789/1806
dc.language.isoenru_RU
dc.publisherZaragoza Universityru_RU
dc.subjectImage analysis, Text mining, Deep Learning, Restaurants, Digital consumer behaviorru_RU
dc.titleA Picture Can Tell a Thousand Words: Understanding Visual Digital Contents of Chinese Restaurantsru_RU
dc.typeArticleru_RU

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