Results 101 to 110 of about 1,751 (215)

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

CoRR
Accepted into IndoNLP: The First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages, collocated with COLING 2025.
Atharva Mutsaddi, Anvi Jamkhande, Aryan Shirish Thakre, Yashodhara Haribhakta   +3 more
openaire   +3 more sources

Mapping the Intellectual Landscape of Giftedness in Early Childhood Through Comparative Topic Modeling

Journal of Intelligence
The present study investigates the semantic structure, dominant themes, and temporal evolution of research on giftedness in early childhood through a comparative topic modeling approach. A final analytic sample (n = 518) of peer-reviewed journal articles
Simge Karakaş Mısır
doaj   +1 more source

Topic Modelling of IT Support Tickets in Jira Using BERTopic: A Deep Dive into Semantic Analysis [PDF]

This master's thesis investigates the application of the BERTopic method to IT support ticket data, focusing on uncovering broader patterns and themes that emerge from employee requests and issues.
Incekas, Ayse Basak
core   +2 more sources

Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic

Journal of Medical Internet Research
BackgroundImmunotherapy has become a game changer in cancer treatment. The internet has been used by patients as a platform to share personal experiences and seek medical guidance.
Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung   +6 more
doaj   +1 more source

Comparison of LDA and BERTopic in News Topic Modeling: A Case Study of The New York Times’ Reports on China [PDF]

The comparison of LDA and BERTopic in news topic modeling offers a fascinating insight into the evolving field of text analysis. As big data floods our lives, techniques like LDA and BERTopic are vital for understanding hidden patterns and associations ...
Liu, Yijia
core   +1 more source

Recommending the right academic programs: an interest mining approach using BERTopic

Data Mining and Knowledge Discovery
Prospective students face the challenging task of selecting a university program that will shape their academic and professional careers. For decision-makers and support services, it is often time-consuming and extremely difficult to match personal interests with suitable programs due to the vast and complex catalogue information available.
Alessandro Hill, Kalen Goo, Puneet Agarwal   +2 more
openaire   +2 more sources

Pemodelan Topik Percakpaan Konseling Kesehatan Mental Menggunakan Metode BERTopic [PDF]

Permasalahan kesehatan mental semakin banyak diungkapkan melalui platform digital, termasuk dalam bentuk percakapan konseling daring. Percakapan ini mengandung informasi penting namun tidak terstruktur dan emosional, sehingga sulit dianalisis secara ...
Maheswari, Clarissa
core  

A117: Using BERTopic Modeling to Explore Physical Education Utilizing ICT [PDF]

Physical education (PE) plays a vital role in student well-being, but China’s traditional PE faces rigid curricula, simplistic assessments, and uneven urban-rural teaching quality.
Sun, Qian, Liu, Shutong, Kim, Jungmin, Cho, Youngbin, Lee, Hanjoo   +4 more
core   +1 more source

Soil Organic Carbon Estimation via Remote Sensing and Machine Learning Techniques: Global Topic Modeling and Research Trend Exploration

Remote Sensing
Understanding and monitoring soil organic carbon (SOC) stocks is crucial for ecosystem carbon cycling, services, and addressing global environmental challenges.
Tong Li, Lizhen Cui, Yu Wu, Timothy I. McLaren, Anquan Xia, Rajiv Pandey, Hongdou Liu, Weijin Wang, Zhihong Xu, Xiufang Song, Ram C. Dalal, Yash P. Dang   +11 more
doaj   +1 more source

Mapping the Landscape of Organizational Branding: A BERTopic-Driven Exploration

International Review of Management and Marketing
This study employs a comprehensive, two-stage methodology, systematic data retrieval from the Scopus database followed by a Bidirectional Encoder Representations from Transformers (BERTopic)-driven text analysis, to map the thematic landscape of 7,920 articles on organizational branding.
Tamer Kiliç, Bülent Özsaçmaci
openaire   +1 more source