BERT and BERTopic for screening clinical depression on open-ended text messages collected through a mobile application from older adults [PDF]
BMC Public HealthBackground Despite the high suicide rate in South Korea, older adults are reluctant to see a psychiatrist. Recently, text mining has gained popularity to detect depression in social media posts, but older adults rarely use social media.
Moo-Kwon Chung +13 more
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Blockchain and Smart Cities: Co-Word Analysis and BERTopic Modeling
Smart CitiesThis paper explores the intersection of blockchain technology and smart cities to support the transition toward decentralized, secure, and sustainable urban systems.
Abderahman Rejeb +3 more
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Experimental Biology and MedicineTopic modeling is a crucial technique in natural language processing (NLP), enabling the extraction of latent themes from large text corpora. Traditional topic modeling, such as Latent Dirichlet Allocation (LDA), faces limitations in capturing the ...
Li Ma +9 more
doaj +2 more sources
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts
Frontiers in Sociology, 2022 The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on ...
Roman Egger, Joanne Yu
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Gibbs-BERTopic: A Hybrid Approach for Short Text Topic Modeling
IEEE AccessAs a rich source of direct user needs, online reviews can be effectively analyzed through topic modeling to uncover user preferences and requirements.
Yan Zhu, Yueying Liu
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Predicting atrial fibrillation and flutter using BEHRT and identifying multimorbidity patterns using BERTopic [PDF]
Frontiers in Digital HealthIntroductionAtrial fibrillation and flutter are heart rhythm disorders frequently associated with multiple other chronic conditions, complicating their management and requiring optimized care.
Sookyung Bae +4 more
doaj +2 more sources
A Comparative Analysis of Topic Reduction Techniques for BERTopic
IEEE AccessBERTopic is a state-of-the-art topic modeling framework that generates topics by clustering contextualized document embeddings. However, its default clustering algorithm, HDBSCAN, often generates an excessive number of topics, which hinders meaningful ...
Wannes Janssens +2 more
semanticscholar +3 more sources
Air fare sentiment via Backtranslation-CNN-BiLSTM and BERTopic
PaladynCivil aviation passengers’ comments about airlines or airports on social media are the key to improving service quality. In order to make effective use of these data, in-depth analysis is needed to provide solid support for service improvement of ...
Ke Xijun +3 more
doaj +2 more sources
Knowledge Discovery Through Topic Modeling on GoPartner User Reviews Using BERTopic, LDA, and NMF
Journal of Applied Informatics and ComputingTransportation and food delivery services are one of the driving sectors of the digital economy in Indonesia. The e-Conomy SEA 2023 report shows that the transportation and food delivery services sector experienced a decrease in GMV in 2023 by 8% from ...
Metti Detricia Pratiwi, Ken Ditha Tania
doaj +2 more sources
Topic modeling-based prediction of software defects and root cause using BERTopic, and multioutput classifier. [PDF]
Sci RepThe occurrence of software defects remains a major obstacle in software engineering, resulting in costly debugging and maintenance efforts. This study introduces a new angle for software defect prediction (SDP), utilizing advanced natural language ...
Gottumukkala DP, P V G D PR, Rao SK.
europepmc +2 more sources