An Experimental Assessment of the Efficacy of BERTopic
Topic modelling is an unsupervised machine-learning technique for finding abstract topics in a large collection of documents. It helps in organizing, understanding, and summarizing large collections of textual information while discovering the latent topics that vary among documents in a given corpus.
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A comparative analysis of topic modelling techniques for the thematic analysis of student feedback. [PDF]
PLoS OneKardam N, Wilson D.
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Program makan bergizi gratis (MBG) yang diinisiasi oleh Presiden Prabowo Subianto pada tanggal 6 Januari 2025 bertujuan untuk menyediakan makanan bergizi bagi anak-anak sekolah, balita, ibu hamil, dan ibu menyusui guna mengatasi masalah gizi buruk dan ...
Fiantono, Ellen Theodora
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Physical Activity-Related Language and Psychosocial Themes in a Psychological AI-Training Q&A Corpus: An Exploratory BERTopic Analysis. [PDF]
Healthcare (Basel)Zhang Y, Liu Y, Wang Y, Guo Y.
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Hadith Topic Modeling Based on Theme Similarity with the BERTopic Algorithm
This study aims to develop a hadith topic modeling system based on thematic similarity using the BERTopic algorithm to support more structured and efficient Islamic studies.
Idfa Billati Hiya Ahsan +4 more
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Thirty years of NCI thyroid cancer research investment (1996-2025): a longitudinal portfolio analysis of funding trends, molecular target emphasis and thematic evolution. [PDF]
Front OncolJiang Y, Chen Y, Lai X, Le F.
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Three decades of recombinant human growth hormone research in children born small for gestational age: a bibliometric analysis (1996-2025). [PDF]
Front PediatrKaracan Küçükali G +3 more
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Understanding pre- and post-COVID urban neighborhood dynamics: a study analyzing georeferenced tweets for New York City. [PDF]
Comput Urban SciMattes M, Arifi D, Resch B.
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BERTopic-driven term extraction from biomedical texts toward ontology population: evaluating vaccine ontology with Plotkin's vaccines corpus. [PDF]
J Biomed SemanticsJesudas BD +6 more
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An Analysis of Research Trends on the Metaverse Using BERTopic Modeling
International JOURNAL OF CONTENTS, 2023 Yumi Kim, Heesop Kim
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