Automated classification of building information modeling (BIM) case studies by BIM use based on natural language processing (NLP) and unsupervised learning

N Jung, G Lee - Advanced Engineering Informatics, 2019 - Elsevier
This paper comparatively analyzes a method to automatically classify case studies of
building information modeling (BIM) in construction projects by BIM use. It generally takes a …

Automated staff assignment for building maintenance using natural language processing

Y Mo, D Zhao, J Du, M Syal, A Aziz, H Li - Automation in Construction, 2020 - Elsevier
Staff assignment is the decision-making to determine appropriate workforce with required
skills to perform a specific task. Staff assignment is critical to success of construction …

Multi-class weather forecasting from twitter using machine learning aprroaches

K Purwandari, JWC Sigalingging, TW Cenggoro… - Procedia Computer …, 2021 - Elsevier
Now in the era of big data, many are applying information methods accurately especially by
social media. The aims of this study to classify the weather based on Twitter automatically …

A classification-based approach for integrated service matching and composition in cloud manufacturing

H Bouzary, FF Chen - Robotics and Computer-Integrated Manufacturing, 2020 - Elsevier
Cloud manufacturing has been acknowledged as a transformative manufacturing paradigm
aiming towards producing highly customized products via sharing distributed manufacturing …

[HTML][HTML] Automatic classification of literature in systematic reviews on food safety using machine learning

LM van den Bulk, Y Bouzembrak, A Gavai, N Liu… - Current Research in …, 2022 - Elsevier
Systematic reviews are used to collect relevant literature to answer a research question in a
way that is clear, thorough, unbiased and reproducible. They are implemented as a standard …

Mcrock at semeval-2024 task 4: Mistral 7b for multilingual detection of persuasion techniques in memes

M Siino - Proceedings of the 18th International Workshop on …, 2024 - aclanthology.org
One of the most widely used content types in internet misinformation campaigns is memes.
Since they can readily reach a big number of users on social media sites, they are most …

[HTML][HTML] Investigating the relevance of Arabic text classification datasets based on supervised learning

AH Ababneh - Journal of Electronic Science and Technology, 2022 - Elsevier
Training and testing different models in the field of text classification mainly depend on the
pre-classified text document datasets. Recently, seven datasets have emerged for Arabic …

Methodological issues in predicting pediatric epilepsy surgery candidates through natural language processing and machine learning

KB Cohen, B Glass, HM Greiner… - Biomedical …, 2016 - journals.sagepub.com
Objective: We describe the development and evaluation of a system that uses machine
learning and natural language processing techniques to identify potential candidates for …

Badrock at semeval-2024 task 8: Distilbert to detect multigenerator, multidomain and multilingual black-box machine-generated text

M Siino - Proceedings of the 18th International Workshop on …, 2024 - aclanthology.org
Abstract The rise of Large Language Models (LLMs) has brought about a notable shift,
rendering them increasingly ubiquitous and readily accessible. This accessibility has …

[PDF][PDF] Comparative study of five text classification algorithms with their improvements

AH Aliwy, EHA Ameer - International Journal of Applied …, 2017 - files2.shewaya.com
Text classification is one of the important fields in natural language processing. It has many
applications in the commercial world like email spam filtering, information retrieval and many …