[HTML][HTML] Incorporation of ontologies in data warehouse/business intelligence systems-a systematic literature review

AL Antunes, E Cardoso, J Barateiro - International Journal of Information …, 2022 - Elsevier
Semantic Web (SW) techniques, such as ontologies, are used in Information Systems (IS) to
cope with the growing need for sharing and reusing data and knowledge in various research …

[HTML][HTML] Covid-19 and the tourism industry: An early stage sentiment analysis of the impact of social media and stakeholder communication

D Obembe, O Kolade, F Obembe, A Owoseni… - International Journal of …, 2021 - Elsevier
This paper examines tourist public responses to crisis communications during the early
stages of Covid-19. Using the social-mediated crisis communication model, the paper …

[HTML][HTML] Predicting the popularity of tweets by analyzing public opinion and emotions in different stages of Covid-19 pandemic

M Mahdikhani - International Journal of Information Management Data …, 2022 - Elsevier
In this study, public opinion and emotions regarding different stages of the Covid-19
pandemic from the outbreak of the disease to the distribution of vaccines were analyzed to …

[HTML][HTML] Knowledge based topic retrieval for recommendations and tourism promotions

RK Mishra, JAA Jothi, S Urolagin, K Irani - International Journal of …, 2023 - Elsevier
The Users regularly share their views on services through internet reviews. Digital tourism
allows travelers to plan and manage their trips ahead of time using the internet. The …

[HTML][HTML] Social network analysis of tourism data: A case study of quarantine decisions in COVID-19 pandemic

F Altuntas, S Altuntas, T Dereli - International Journal of Information …, 2022 - Elsevier
Tourism is one of the most affected sector during the COVID-19 pandemic all over the world.
Quarantine decisions are the leading measures taken in practice to reduce possible …

[HTML][HTML] Exploring commonly used terms from online reviews in the fashion field to predict review helpfulness

M Mahdikhani - International Journal of Information Management Data …, 2023 - Elsevier
Online shopping for fashion products is a challenging process for consumers. Although
customers can facilitate purchasing, review content and helpful voting systems can be …

[HTML][HTML] How does hand gestures in videos impact social media engagement-Insights based on deep learning

K Anand, S Urolagin, RK Mishra - International Journal of Information …, 2021 - Elsevier
With the fast improvement and development in deep learning and computer vision, the
interaction between humans and computers is becoming immense. This research work aims …

[HTML][HTML] Predicting reactions to anomalies in stock movements using a feed-forward deep learning network

T Al-Sulaiman - International Journal of Information Management Data …, 2022 - Elsevier
Stock markets may be exposed to large movements for various reasons, which lead to
negative or positive returns. This research aims to find if we can predict future prices after a …

COVID-19 public opinion: a twitter healthcare data processing using machine learning methodologies

S Agrawal, SK Jain, S Sharma, A Khatri - International Journal of …, 2022 - mdpi.com
The COVID-19 pandemic has shattered the whole world, and due to this, millions of people
have posted their sentiments toward the pandemic on different social media platforms. This …

A modular social sensing system for personalized orienteering in the COVID-19 era

G Pilato, F Persia, M Ge, T Chondrogiannis… - ACM Transactions on …, 2023 - dl.acm.org
Orienteering or itinerary planning algorithms in tourism are used to optimize travel routes by
considering user preference and other constraints, such as time budget or traffic conditions …