A Data-Driven Approach to Predict Social Impact of Rural Tourism: Insights from UNWTO’s Video Campaigns-Reference-Cited by-同舟云学术

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A Data-Driven Approach to Predict Social Impact of Rural Tourism: Insights from UNWTO’s Video Campaigns

Published:2023-12-15 Issue: Volume: Page:6201-6203
ISSN:
Container-title:2023 IEEE International Conference on Big Data (BigData)
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Author:

Kipa Kamuna¹,Totona Nigel Kari¹,Cho Eunbi²,Kim Jeongho³,Kim Seon Tae²,Oh Joo Hee²

Affiliation:

1. Handong Global University,The Graduate School of Global Management & Leadership,Pohang,South Korea

2. Handong Global University,School of Management and Economics,Pohang,South Korea

3. Global University,School of Global Entrepreneurship and ICTHandong,Pohang,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386389.pdf?arnumber=10386389

Reference4 articles.

1. Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey

2. Predicting Popularity of Online Videos Using Support Vector Regression

3. Visual Attributes of Thumbnails in Predicting YouTube Brand Channel Views in the Marketing Digitalization Era

4. Predict Socio-Economic Status of an Area from Satellite Image Using Deep Learning

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