[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] Faradaic deionization technology: Insights from bibliometric, data mining and machine learning approaches

E Aytaç, A Fombona-Pascual, JJ Lado, EG Quismondo… - Desalination, 2023 - Elsevier
Faradaic deionization (FDI) is an emerging water treatment technology based on electrodes
able to remove ionic species from water by charge transfer reactions. It is a young and …

Sentiment analysis of text reviews using lexicon-enhanced bert embedding (LeBERT) model with convolutional neural network

J Mutinda, W Mwangi, G Okeyo - Applied Sciences, 2023 - mdpi.com
Sentiment analysis has become an important area of research in natural language
processing. This technique has a wide range of applications, such as comprehending user …

Natural language processing using graph neural network for text classification

VS Kumar, A Alemran, DA Karras… - 2022 international …, 2022 - ieeexplore.ieee.org
The boom of the technological area has given rise to numerous new applications that
actually rule the entire world. Some of them mainly are the social media networks like the …

[HTML][HTML] The framing of health technologies on social media by major actors: Prominent health issues and COVID-related public concerns

M Reveilhac, A Blanchard - International Journal of Information …, 2022 - Elsevier
Drawing from recent advances in the field of health sociology, our study highlights topics
and framings of health technologies (HT) diffused online by more than 4,000 identified …

Intelligent analysis system of college students' employment and entrepreneurship situation: Big data and artificial intelligence-driven approach

H Yu, R Zhang, C Kim - Computers and Electrical Engineering, 2023 - Elsevier
This study proposes an analysis plan for college students' employment and
entrepreneurship based on big data and artificial intelligence, aiming to provide an …

Cyberbullying Detection in Social Networks: A Comparison Between Machine Learning and Transfer Learning Approaches

TH Teng, KD Varathan - IEEE Access, 2023 - ieeexplore.ieee.org
Information and Communication Technologies fueled social networking and facilitated
communication. However, cyberbullying on the platform had detrimental ramifications. The …

Explaining tourist revisit intention using natural language processing and classification techniques

A Gregoriades, M Pampaka, H Herodotou… - Journal of Big Data, 2023 - Springer
Revisit intention is a key indicator of business performance, studied in many fields including
hospitality. This work employs big data analytics to investigate revisit intention patterns from …

Toward the development of large-scale word embedding for low-resourced language

S Nazir, M Asif, SA Sahi, S Ahmad, YY Ghadi… - IEEE …, 2022 - ieeexplore.ieee.org
Word embedding is possessed by Natural language processing as a key procedure for
semantically and syntactically manipulating the unlabeled text corpus. While this process …

Mining Healthcare Procurement Data Using Text Mining and Natural Language Processing--Reflection From An Industrial Project

Z Zhang, T Jasaitis, R Freeman, R Alfrjani… - arXiv preprint arXiv …, 2023 - arxiv.org
While text mining and NLP research has been established for decades, there remain gaps in
the literature that reports the use of these techniques in building real-world applications. For …