A review of text corpus-based tourism big data mining
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 …
tourism big data. As an effective expression means of tourists' opinions, text mining of such …
Motivation and satisfaction of Chinese and US tourists in restaurants: A cross-cultural text mining of online reviews
SS Jia - Tourism Management, 2020 - Elsevier
Tourists with dissimilar cultural backgrounds think and behave differently. Precisely
capturing and correctly understanding the cultural difference will help tourism managers …
capturing and correctly understanding the cultural difference will help tourism managers …
Detecting indicators for startup business success: Sentiment analysis using text data mining
The main aim of this study is to identify the key factors in User Generated Content (UGC) on
the Twitter social network for the creation of successful startups, as well as to identify factors …
the Twitter social network for the creation of successful startups, as well as to identify factors …
Natural language processing in-and-for design research
We review the scholarly contributions that utilise natural language processing (NLP)
techniques to support the design process. Using a heuristic approach, we gathered 223 …
techniques to support the design process. Using a heuristic approach, we gathered 223 …
Analyzing restaurant customers' evolution of dining patterns and satisfaction during COVID-19 for sustainable business insights
S Jia - Sustainability, 2021 - mdpi.com
Observing and interpreting restaurant customers' evolution of dining patterns and
satisfaction during COVID-19 is of critical importance in terms of develo** sustainable …
satisfaction during COVID-19 is of critical importance in terms of develo** sustainable …
Contextual classification of clinical records with bidirectional long short‐term memory (Bi‐LSTM) and bidirectional encoder representations from transformers (BERT) …
Deep learning models have overcome traditional machine learning techniques for text
classification domains in the field of natural language processing (NLP). Since, NLP is a …
classification domains in the field of natural language processing (NLP). Since, NLP is a …
Leisure motivation and satisfaction: A text mining of yoga centres, yoga consumers, and their interactions
S Jia - Sustainability, 2018 - mdpi.com
Understanding the motivation and satisfaction of yoga consumers is of critical importance for
both leisure service providers and leisure researchers to enhance the sustainability of …
both leisure service providers and leisure researchers to enhance the sustainability of …
Enhancing patent retrieval using text and knowledge graph embeddings: a technical note
Patent retrieval influences several applications within engineering design research,
education, and practice as well as applications that concern innovation, intellectual property …
education, and practice as well as applications that concern innovation, intellectual property …
Understanding asymmetric effects of attribute performance on tourist satisfaction with island tourism using user-generated data
Purpose Past research often relies on linear relationship assumptions from the perspective
of managers when studying the relationship between attribute performance and satisfaction …
of managers when studying the relationship between attribute performance and satisfaction …
Multi-dimension topic mining based on hierarchical semantic graph model
T Zhang, B Lee, Q Zhu, X Han, EM Ye - IEEE access, 2020 - ieeexplore.ieee.org
Topic mining of scientific literature can accurately capture the contextual structure of a topic,
track research hotspots within a field, and improve the availability of information about the …
track research hotspots within a field, and improve the availability of information about the …