... 30 05 2025 25 06 2025 © 2025 Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only User-generated content Frontline employees Service encounters Travel purpose Text mining The classification of travel models serves as a form of market...

... metrics and the effect of these influencers on their followers written reviews are measured by three different the text mining approaches; sentiment analysis, topic modeling and stance detection. Findings This study reveals that influencers who can disseminate information more quickly act as bridges...

...Amine Lekmiti; Paul John Stolk; Alex Taylor; Sridar Ramachandran; Ng Keng Yap Purpose The purpose of this study is to assess the current level of knowledge on the application of text mining in tourism and hospitality (T&H) research and provide a novel comprehensive framework for the field...

...). Eda Özgül Katlav can be contacted at: edaozgulkatlav@gmail.com 09 12 2020 05 12 2021 01 04 2022 08 06 2022 14 09 2022 25 09 2022 © Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Data mining Text mining Hotel...

... Publishing Limited Licensed re-use rights only Tourism performing arts Success factor Tourist satisfaction Text mining Tourism online review Clustering algorithm The rapid growth of tourism and the resultant increased demand for entertainment among tourists has resulted in a rapid expansion...

...Tingting Zhang; Bin Li; Ady Milman; Nan Hua Purpose This study aims to examine technology adoption practices in Chinese theme parks by leveraging text mining and sentiment analysis approaches on actual theme park customers’ online reviews. Design/methodology/approach The study text mined a total...

... the research objectives, we used Leximancer v4.5 software. Leximancer is a popular text mining tool for analyzing word meaning and visualizing concept and theme structure within unstructured and complex text data (Indulska et al., 2012 ; Smith and Humphreys, 2006 ; Tseng et al., 2015...

...的变化。 研究原创性/价值 本论文提出并检测了一项新方法, 这项情感分析方法可以解决之前方法的局限并立脚于旅游行业。基于文献综述, 本论文是首篇研究, 使用词库法来进行情感分析和创建特别领域词典的方式。 Social media Hotel reviews Sentiment analysis Text mining Big data 社交媒体 酒店评论 情感分析 文本挖掘、 大数据 Customer engagement on social media continuously grows online and on real...

... at: harriman.saragih@pmbs.ac.id 24 03 2020 02 07 2020 17 08 2020 22 12 2020 31 12 2020 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only eWOM Analytics Text mining Music festival 分析 音乐节 eWOM 文本挖掘 The term “data...

... restaurants, this research used text mining and sentiment analysis to find meaningful patterns, popular words and emotional states in opinions. Findings Twitter users held mingled perceptions of different types of Asian restaurants. Sentiment analysis and ANOVA showed that the average sentiment scores...