A survey on machine reading comprehension—tasks, evaluation metrics and benchmark datasets
C Zeng, S Li, Q Li, J Hu, J Hu - Applied Sciences, 2020 - mdpi.com
Machine Reading Comprehension (MRC) is a challenging Natural Language Processing
(NLP) research field with wide real-world applications. The great progress of this field in …
(NLP) research field with wide real-world applications. The great progress of this field in …
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 …
Sentiment analysis for hotel reviews: a systematic literature review
Sentiment Analysis (SA) helps to automatically and meaningfully discover hotel customers'
satisfaction from their shared experiences and feelings on social media. Several studies …
satisfaction from their shared experiences and feelings on social media. Several studies …
Machine Learning in Tourism: A Brief Overview: Generation of Knowledge from Experience
R Egger - Applied data science in tourism: Interdisciplinary …, 2022 - Springer
In the last few years, a large hype around the topic of Machine Learning (ML) has emerged;
this can be justified thanks to various ML approaches having recently undergone rapid …
this can be justified thanks to various ML approaches having recently undergone rapid …
Innovative clustering of the region in the context of increasing competitive positions of the enterprises of the tourist-recreational destination
NV Trusova, TA Cherniavska, SR Pasieka… - 2020 - dspace.ksaeu.kherson.ua
The article deals with the implementation of the theoretical and methodological platform on
the complementary innovation clustering of regions in the context of enhancing the …
the complementary innovation clustering of regions in the context of enhancing the …
Social media data-based sentiment analysis of tourists' air quality perceptions
Y Tao, F Zhang, C Shi, Y Chen - Sustainability, 2019 - mdpi.com
Analyzing tourists' perceptions of air quality is of great significance to the study of tourist
experience satisfaction and the image construction of tourism destinations. In this study …
experience satisfaction and the image construction of tourism destinations. In this study …
A commodity review sentiment analysis based on BERT-CNN model
J Dong, F He, Y Guo, H Zhang - 2020 5th International …, 2020 - ieeexplore.ieee.org
Sentiment analysis through the investigation on commodity reviews will be of great
importance to commodity quality improvement of the seller and subsequent consumption …
importance to commodity quality improvement of the seller and subsequent consumption …
A new hybrid deep learning model for monthly oil prices forecasting
K Guan, X Gong - Energy Economics, 2023 - Elsevier
The forecast of crude oil prices has always been important for investors and scholars and
has drawn more attention to applying deep learning techniques in recent years. Under this …
has drawn more attention to applying deep learning techniques in recent years. Under this …
Identifying emotion labels from psychiatric social texts using a bi-directional LSTM-CNN model
Discussion features in online communities can be effectively used to diagnose depression
and allow other users or experts to provide self-help resources to those in need. Automatic …
and allow other users or experts to provide self-help resources to those in need. Automatic …
Text representations and word embeddings: Vectorizing textual data
R Egger - Applied data science in tourism: Interdisciplinary …, 2022 - Springer
Today, a vast amount of unstructured text data is consistently at our disposal. Owing to the
rapid increase in user-generated content on the one hand and powerful, ready-to-use …
rapid increase in user-generated content on the one hand and powerful, ready-to-use …