A Big-Data Analysis of Public Perceptions of Service Robots Amid Covid-19

This research note investigates public perceptions of robotic services in the hospitality and tourism industry in the context of COVID-19. Relevant comments from YouTube videos were crawled and analysed by Natural Language Processing (NLP) techniques including explorative analysis, sentiment analysi...

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Autor principal: Yaozhi ZHANG
Formato: article
Lenguaje:EN
Publicado: Akdeniz University Tourism Faculty 2021
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Acceso en línea:https://doaj.org/article/7283686279ce43a49685da6d56d7f43b
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spelling oai:doaj.org-article:7283686279ce43a49685da6d56d7f43b2021-12-01T13:13:40ZA Big-Data Analysis of Public Perceptions of Service Robots Amid Covid-1910.30519/ahtr.7992102147-91002148-7316https://doaj.org/article/7283686279ce43a49685da6d56d7f43b2021-06-01T00:00:00Zhttps://dergipark.org.tr/tr/pub/ahtr/issue/62642/799210https://doaj.org/toc/2147-9100https://doaj.org/toc/2148-7316This research note investigates public perceptions of robotic services in the hospitality and tourism industry in the context of COVID-19. Relevant comments from YouTube videos were crawled and analysed by Natural Language Processing (NLP) techniques including explorative analysis, sentiment analysis, and topic modelling. The results reveal that while there are supporters and opponents toward robotic services during the pandemic, the overall public sentiment is neutral, and confirm that the health factor and a series of social-cultural factors encompassing the employment concern, political influence, and cultural norm should be involved as more significant variables for COVID-Tourism research. Some practical suggestions for robotic services amidst COVID-19 are accordingly put forward.Yaozhi ZHANG Akdeniz University Tourism Faculty articlecovid-19service robotpublic perceptionhospitality and tourism industryHospitality industry. Hotels, clubs, restaurants, etc. Food serviceTX901-946.5Geography (General)G1-922ENAdvances in Hospitality and Tourism Research, Vol 9, Iss 1, Pp 234-242 (2021)
institution DOAJ
collection DOAJ
language EN
topic covid-19
service robot
public perception
hospitality and tourism industry
Hospitality industry. Hotels, clubs, restaurants, etc. Food service
TX901-946.5
Geography (General)
G1-922
spellingShingle covid-19
service robot
public perception
hospitality and tourism industry
Hospitality industry. Hotels, clubs, restaurants, etc. Food service
TX901-946.5
Geography (General)
G1-922
Yaozhi ZHANG
A Big-Data Analysis of Public Perceptions of Service Robots Amid Covid-19
description This research note investigates public perceptions of robotic services in the hospitality and tourism industry in the context of COVID-19. Relevant comments from YouTube videos were crawled and analysed by Natural Language Processing (NLP) techniques including explorative analysis, sentiment analysis, and topic modelling. The results reveal that while there are supporters and opponents toward robotic services during the pandemic, the overall public sentiment is neutral, and confirm that the health factor and a series of social-cultural factors encompassing the employment concern, political influence, and cultural norm should be involved as more significant variables for COVID-Tourism research. Some practical suggestions for robotic services amidst COVID-19 are accordingly put forward.
format article
author Yaozhi ZHANG
author_facet Yaozhi ZHANG
author_sort Yaozhi ZHANG
title A Big-Data Analysis of Public Perceptions of Service Robots Amid Covid-19
title_short A Big-Data Analysis of Public Perceptions of Service Robots Amid Covid-19
title_full A Big-Data Analysis of Public Perceptions of Service Robots Amid Covid-19
title_fullStr A Big-Data Analysis of Public Perceptions of Service Robots Amid Covid-19
title_full_unstemmed A Big-Data Analysis of Public Perceptions of Service Robots Amid Covid-19
title_sort big-data analysis of public perceptions of service robots amid covid-19
publisher Akdeniz University Tourism Faculty
publishDate 2021
url https://doaj.org/article/7283686279ce43a49685da6d56d7f43b
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