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What Does Text Mining of Reddit Forums Reveal About Factors Surrounding Mental Health in Singapore? [PDF]

J Med Internet Res
Alba C, Ang ABH, Abbasian V, Chung G.
europepmc   +1 more source

Public sentiment and thematic evolution in the metaverse: A large-scale computational analysis of Twitter discourse. [PDF]

PLoS One
Duraivel S, Rajendran L, Vasudevan S, Piazza A.   +3 more
europepmc   +1 more source

From cognitive gap to innovation synergy: public cognitive evolution law and implications in the new unmanned-driven business model. [PDF]

Sci Rep
Zhang Y, Zhuang W.
europepmc   +1 more source

Mixed-methods analysis on psychedelic-augmented meditation experiences from a randomized controlled mindfulness retreat. [PDF]

Sci Rep
Schlomberg JTT, Meling D, Grylka R, Vasella EA, Augustinovic D, Scheidegger M.   +5 more
europepmc   +1 more source

Training path of big data management and application talents based on BERTopic-TOPSIS model. [PDF]

PLoS One
Li Y, Huang T, Li X.
europepmc   +1 more source

BERTopic_Teen: a multi-module optimization approach for short text topic modeling in adolescent health. [PDF]

Front Public Health
Feng Y, Chen Z, Zhang Y, Huang W, Zhang X, He S.   +5 more
europepmc   +1 more source

What do the differences and commonalities in doctoral dissertation acknowledgments across disciplines reveal? [PDF]

PLoS One
Yang K, Han J, Zhuang H.
europepmc   +1 more source

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Identifying interdisciplinary topics and their evolution based on BERTopic

Scientometrics, 2023
Jiangping Chen, Haihua Chen, Chen Haihua   +2 more
exaly   +2 more sources

BERT for Arabic Topic Modeling: An Experimental Study on BERTopic Technique

Procedia Computer Science, 2021
Abstract Topic modeling 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 and discovering the latent topics that vary among documents in a given corpus.
Hend Al-Khalifa
exaly   +2 more sources