• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

推特旅游主题标签中关于新冠疫情危机沟通的主题与情感分析

Topic and sentiment analysis of crisis communications about the COVID-19 pandemic in Twitter's tourism hashtags.

作者信息

Carvache-Franco Orly, Carvache-Franco Mauricio, Carvache-Franco Wilmer, Iturralde Kevin

机构信息

Facultad de Ciencias Empresariales, Universidad Católica de Santiago de Guayaquil, Guayaquil, Ecuador.

Universidad Espíritu Santo, Samborondón, Ecuador.

出版信息

Tour Hosp Res. 2023 Jan;23(1):44-59. doi: 10.1177/14673584221085470.

DOI:10.1177/14673584221085470
PMID:37520686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9014346/
Abstract

The purpose of this paper was to assess Twitter as a means of communication during tourism crises with the following objectives: (a) identify the topics that are discussed, (b) establish the text sentiment, and (c) determine the differences in gender regarding the topics under discussion and the text sentiment. The data were collected from Twitter between March and April 2020. Using big data software, this study extracted 123,868 tweets globally in different languages through the Twitter API of popular tourism hashtags. Two techniques were applied: word association and sentiment analysis. The results show that the communication made through Tweets has the characteristics of a crisis communication related to the effects of the COVID-19 pandemic in the tourism industry. The theoretical contribution of the research is that Twitter in social media is an effective means of communication during pandemic crises and contributes to reducing negative perceptions and adverse effects of the tourism crises in companies and destinations. The practical contribution of the research is that Twitter can be used as a means of communication helping the communication strategies of companies and organizations.

摘要

本文的目的是评估推特作为旅游危机期间的一种沟通方式,其目标如下:(a) 识别所讨论的话题,(b) 确定文本的情感倾向,以及 (c) 确定在讨论的话题和文本情感倾向上的性别差异。数据于2020年3月至4月期间从推特收集。本研究使用大数据软件,通过热门旅游主题标签的推特应用程序编程接口,在全球范围内提取了123,868条不同语言的推文。应用了两种技术:词关联和情感分析。结果表明,通过推文进行的沟通具有与新冠疫情对旅游业影响相关的危机沟通特征。该研究的理论贡献在于,社交媒体中的推特是疫情危机期间一种有效的沟通方式,有助于减少旅游危机对公司和目的地的负面认知及不利影响。该研究的实际贡献在于,推特可作为一种沟通方式,帮助公司和组织制定沟通策略。

相似文献

1
Topic and sentiment analysis of crisis communications about the COVID-19 pandemic in Twitter's tourism hashtags.推特旅游主题标签中关于新冠疫情危机沟通的主题与情感分析
Tour Hosp Res. 2023 Jan;23(1):44-59. doi: 10.1177/14673584221085470.
2
COVID-19 vaccine sentiment analysis using public opinions on Twitter.利用推特上的公众舆论对新冠疫苗进行情绪分析。
Mater Today Proc. 2022;64:448-451. doi: 10.1016/j.matpr.2022.04.809. Epub 2022 Apr 28.
3
Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study.新冠疫情期间推特用户的主要担忧:信息监测研究
J Med Internet Res. 2020 Apr 21;22(4):e19016. doi: 10.2196/19016.
4
Topics and destinations in comments on YouTube tourism videos during the Covid-19 pandemic.评论中关于新冠肺炎疫情期间 YouTube 旅游视频的主题和目的地。
PLoS One. 2023 Mar 2;18(3):e0281100. doi: 10.1371/journal.pone.0281100. eCollection 2023.
5
Emergency Physician Twitter Use in the COVID-19 Pandemic as a Potential Predictor of Impending Surge: Retrospective Observational Study.《COVID-19 大流行期间急诊医师在 Twitter 上的使用情况可能预示着即将出现的疫情高峰:回顾性观察研究》
J Med Internet Res. 2021 Jul 14;23(7):e28615. doi: 10.2196/28615.
6
Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication.新冠疫情推特交流中情绪与情感演变的文本分析
Cognit Comput. 2022 Jul 28:1-24. doi: 10.1007/s12559-022-10025-3.
7
An "Infodemic": Leveraging High-Volume Twitter Data to Understand Early Public Sentiment for the Coronavirus Disease 2019 Outbreak.一场“信息疫情”:利用大量推特数据来了解公众对2019年冠状病毒病疫情的早期情绪
Open Forum Infect Dis. 2020 Jun 30;7(7):ofaa258. doi: 10.1093/ofid/ofaa258. eCollection 2020 Jul.
8
US Black Maternal Health Advocacy Topics and Trends on Twitter: Temporal Infoveillance Study.美国推特上黑人孕产妇健康宣传主题与趋势:时间信息监测研究
JMIR Infodemiology. 2022 Apr 20;2(1):e30885. doi: 10.2196/30885. eCollection 2022 Jan-Jun.
9
Social media analysis of Twitter tweets related to ASD in 2019-2020, with particular attention to COVID-19: topic modelling and sentiment analysis.2019 - 2020年与自闭症谱系障碍(ASD)相关的推特推文的社交媒体分析,特别关注2019冠状病毒病(COVID - 19):主题建模与情感分析。
J Big Data. 2022;9(1):113. doi: 10.1186/s40537-022-00666-4. Epub 2022 Nov 25.
10
Monitoring Physical Activity Levels Using Twitter Data: Infodemiology Study.利用推特数据监测身体活动水平:信息流行病学研究。
J Med Internet Res. 2019 Jun 3;21(6):e12394. doi: 10.2196/12394.

引用本文的文献

1
"Sanitary measures, social distancing, safety": The evolution of Swiss hoteliers' Covid-19 communication through three snapshots.“卫生措施、社交距离、安全”:瑞士酒店业者关于新冠疫情的沟通演变的三张快照
Tour Hosp Res. 2023 Mar 13:14673584231162279. doi: 10.1177/14673584231162279.
2
Using geotagged facial expressions to visualize and characterize different demographic groups' emotion in theme parks.利用地理标记的面部表情来可视化和描述主题公园中不同人群的情绪特征。
Sci Rep. 2024 Sep 9;14(1):20983. doi: 10.1038/s41598-024-69555-5.
3
Utilizing AI for extracting insights on post WHO's COVID-19 vaccination declaration from X (Twitter) social network.利用人工智能从X(推特)社交网络中提取关于世界卫生组织新冠疫苗接种声明的见解。
AIMS Public Health. 2024 Mar 18;11(2):349-378. doi: 10.3934/publichealth.2024018. eCollection 2024.
4
Influence of Strategic Crisis Communication on Public Perceptions during Public Health Crises: Insights from YouTube Chinese Media.公共卫生危机期间战略危机沟通对公众认知的影响:来自YouTube中文媒体的见解
Behav Sci (Basel). 2024 Jan 26;14(2):91. doi: 10.3390/bs14020091.
5
Topic sentiment analysis based on deep neural network using document embedding technique.基于使用文档嵌入技术的深度神经网络的主题情感分析。
J Supercomput. 2023 Jun 5:1-39. doi: 10.1007/s11227-023-05423-9.
6
Beach tourists behavior and beach management strategy under the ongoing prevention and control of the COVID-19 pandemic: A case study of Qingdao, China.新冠疫情防控下的海滩游客行为与海滩管理策略:以中国青岛为例
Ocean Coast Manag. 2021 Dec 1;215:105974. doi: 10.1016/j.ocecoaman.2021.105974. Epub 2021 Nov 13.