[HTML][HTML] Natural language processing applied to tourism research: A systematic review and future research directions

MÁ Álvarez-Carmona, R Aranda… - Journal of king Saud …, 2022 - Elsevier
The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …

Natural language processing (NLP): An introduction: making sense of textual data

R Egger, E Gokce - Applied data science in tourism: Interdisciplinary …, 2022 - Springer
With the increase in internet usage, the amount of available textual data has also continued
to increase rapidly. In addition, the development of stronger computers has enabled the …

A review of text corpus-based tourism big data mining

Q Li, S Li, S Zhang, J Hu, J Hu - Applied Sciences, 2019 - mdpi.com
With the massive growth of the Internet, text data has become one of the main formats of
tourism big data. As an effective expression means of tourists' opinions, text mining of such …

An exploratory study on the semantic network analysis of food tourism through the big data

HS Kim - Culinary science and hospitality research, 2017 - koreascience.kr
The purpose of this study was to explore awareness of food tourism using big data analysis.
For this, this study collected data containing'food tourism'keywords from google web search …

Research trends in tourism and hospitality from 1991 to 2020: an integrated approach of corpus linguistics and bibliometrics

G Wang, H Wang, L Wang - Journal of Hospitality and Tourism …, 2023 - emerald.com
Purpose This study aims to track the historical development in tourism and hospitality
research over the past 30 years by applying a novel interdisciplinary approach, combining …

Structural review of relics tourism by text mining and machine learning

S Das, S Mondal, V Puri, V Vrana - Journal of Tourism, Heritage & …, 2022 - papers.ssrn.com
Purpose: The objective of the paper is to find trends of research in relic tourism-related
topics. Specifically, this paper uncovers all published studies having latent issues with the …

What makes tourists feel negatively about tourism destinations? Application of hybrid text mining methodology to smart destination management

K Kim, O Park, S Yun, H Yun - Technological Forecasting and Social …, 2017 - Elsevier
Recently, the Internet has brought a big change in tourists' behavior patterns. Travelers not
only reserve hotels and airline tickets online, but also exchange travel information and …

A Survey on the Potential of Artificial Intelligence Tools in Tourism Information Services

OM Alyasiri, K Selvaraj… - Babylonian …, 2024 - journals.mesopotamian.press
Recently, ChatGPT, an advanced AI language model, has transformed the tourism industry
by redefining how travelers access information and experience destinations. This survey …

Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda

M Knani, S Echchakoui, R Ladhari - International Journal of Hospitality …, 2022 - Elsevier
Artificial intelligence (AI) has received a great deal of attention in tourism and hospitality
(T&H) literature and practices. The authors of this study propose a bibliometric approach …

Studying online travel reviews related to tourist attractions using nlp methods: the case of guanajuato, mexico

R Guerrero-Rodriguez… - Current issues in …, 2023 - Taylor & Francis
This research's main objective is to analyse Online Travel Reviews (OTRs) related to tourist
attractions aiming at identifying recurring discussion topics/themes to infer whether travellers …