Results 141 to 150 of about 2,128 (194)

Exploring the trajectory of migrant entrepreneurship research: BERTopic modeling

Journal of Organizational Change Management
PurposeThis study aims to explore migrant entrepreneurship research to understand its evolution and growing impact. This exploration is through a systematic approach to analyzing existing research works to identify the most crucial themes.
T. A. Alka, M. Suresh, R. Raman
semanticscholar   +2 more sources

Identifying interdisciplinary topics and their evolution based on BERTopic

Scientometrics, 2023
Zhongyi Wang, Jing Chen, Jiangping Chen, Haihua Chen   +3 more
semanticscholar   +2 more sources

Modeling New Trends in Bone Regeneration, using the BERTopic Approach

Regenerative Medicine, 2023
Aim: Bibliometric surveys are time-consuming endeavors, which cannot be scaled up to meet the challenges of ever-expanding fields, such as bone regeneration. Artificial intelligence, however, can provide smart tools to screen massive amounts of literature, and we relied on this technology to automatically identify research topics.
Stefano Guizzardi, Maria Teresa Colangelo, Prisco Mirandola, Carlo Galli   +3 more
openaire   +3 more sources

BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study

COLING Workshops
As short text data in native languages like Hindi increasingly appear in modern media, robust methods for topic modeling on such data have gained importance.
Atharva Mutsaddi, Anvi Jamkhande, Aryan Thakre, Y. Haribhakta   +3 more
semanticscholar   +1 more source

Enhancing Chatbot User Satisfaction: A Machine Learning Approach Integrating Decision Tree, TF-IDF, and BERTopic

2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS)
Ensuring that large language models (LLMs) generate responses that resonate with users is critical for successful interactions. This study leverages machine learning techniques to improve chatbot interactions by aligning responses more closely with human
Jiaxin Lu
semanticscholar   +1 more source

LLM-Based Generative AI in Medicine: Analysis of Current Research Trends With BERTopic

IEEE Access
Recent advances in generative artificial intelligence (GenAI) have made large language models (LLMs) transformative tools in the healthcare industry.
Murat Kılınç, Fatih Gurcan, Ahmet Soylu   +2 more
semanticscholar   +1 more source

Multilingual transformer and BERTopic for short text topic modeling: The case of Serbian

arXiv.org
This paper presents the results of the first application of BERTopic, a state-of-the-art topic modeling technique, to short text written in a morphologi-cally rich language.
Darija Medvecki, Bojana Bašaragin, Adela Ljajić, Nikola Milosevic   +3 more
semanticscholar   +1 more source