Review of tourism forecasting research with internet data

X Li, R Law, G Xie, S Wang - Tourism Management, 2021 - Elsevier
forecasting remain limited. This work reviews articles on tourism forecasting research with
Internet … Then, the findings ae synthesized based on the following Internet data classifications: …

A survey of information cascade analysis: Models, predictions, and recent advances

F Zhou, X Xu, G Trajcevski, K Zhang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
article presents a comprehensive review and categorization of information popularity prediction
… We provide a comprehensive review of existing information cascade prediction methods, …

Forecasting tourism demand with multisource big data

H Li, M Hu, G Li - Annals of Tourism Research, 2020 - Elsevier
… on multisource big data from a search engine and online review platforms demonstrates …
forecasting based on online review data from a single platform, forecasting performance based

Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews

FR Lucini, LM Tonetto, FS Fogliatto… - Journal of Air Transport …, 2020 - Elsevier
customer satisfaction in the airline industry. Using text mining methods we explore Online
Customer Reviews (OCRs… Finally, we have used a Logistic Regression Classifier to predict the …

Deep learning-based vehicle behavior prediction for autonomous driving applications: A review

S Mozaffari, OY Al-Jarrah, M Dianati… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
… Motivated by this increased popularity, we provide a comprehensive review of the state-of-the-art
of deep learning-based approaches for vehicle behavior prediction in this article. We …

Drivers of helpfulness of online hotel reviews: A sentiment and emotion mining approach

S Chatterjee - International Journal of Hospitality Management, 2020 - Elsevier
Based on user-generated content from a popular review website Trip Advisor, we have created
explanatory and predictive … idea about how to predict potentially popular reviews; this, we …

A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews

PK Jain, R Pamula, G Srivastava - Computer science review, 2021 - Elsevier
… scrapping information from user-generated online reviews to accurately predicting drivers for
… are working on predicting consumer recommendations decision based on online reviews. …

[HTML][HTML] Social media based surveillance systems for healthcare using machine learning: a systematic review

A Gupta, R Katarya - Journal of biomedical informatics, 2020 - Elsevier
… media-based surveillance systems that predict the disease in real-time or near real-time
using machine learning approaches. The selection criteria for the research articles were set to …

Comparative Analysis of Online Fashion Retailers Using Customer Sentiment Analysis on Twitter

V Sharma, T Manocha - Proceedings of the International …, 2022 - papers.ssrn.com
… They write about anything, such as social activities or product reviews. Social media sites …
lexicon based on the collected data can be established to improve prediction accuracy. …

[HTML][HTML] Political communication on social media: A tale of hyperactive users and bias in recommender systems

O Papakyriakopoulos, JCM Serrano… - Online Social Networks …, 2020 - Elsevier
userscomments receive on average the same amount of likes as the comments of the rest
of the users… the actual user interactions acceptably, we test its predictions when faced with …