Results 91 to 100 of about 2,670 (204)

Artificial Intelligence−Driven Analysis Identifies Anterior Cruciate Ligament Reconstruction, Hip Arthroscopy and Femoroacetabular Impingement Syndrome, and Shoulder Instability as the Most Commonly Published Topics in Arthroscopy

open access: yesArthroscopy, Sports Medicine, and Rehabilitation
Purpose: To use advanced topic modeling, specifically the Bidirectional Encoder Representations from Transformers Topic (BERTopic) Model, to analyze research topics in Arthroscopy: The Journal of Arthroscopic and Related Surgery (Arthroscopy).
Henry B.G. Baird, B.S.   +5 more
doaj   +1 more source

Exploring the Effects of Pre-Processing Techniques on Topic Modeling of an Arabic News Article Data Set

open access: yesApplied Sciences
This research investigates the impacts of pre-processing techniques on the effectiveness of topic modeling algorithms for Arabic texts, focusing on a comparison between BERTopic, Latent Dirichlet Allocation (LDA), and Non-Negative Matrix Factorization ...
Haya Alangari, Nahlah Algethami
doaj   +1 more source

Travel Guide Using Text Mining and BERTopic [PDF]

open access: yes, 2022
This thesis aims to identify key topics from travel blog journals created by two bloggers Jones and handluggageonly and create interest directed recommendations to tourists. By applying Text Mining, sentiment analysis, the two writers exhibited different
Jin, Yaolan
core  

BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights

open access: yesCoRR
This paper explores the intersection of Natural Language Processing (NLP) and financial analysis, focusing on the impact of sentiment analysis in stock price prediction. We employ BERTopic, an advanced NLP technique, to analyze the sentiment of topics derived from stock market comments.
Enmin Zhu, Jerome Yen
openaire   +2 more sources

Artificial intelligence−driven analysis identifies arthroscopic shoulder surgery, meniscus injury and treatment, and total knee arthroplasty design biomechanics as the most commonly published topics in Knee Surgery, Sports Traumatology, Arthroscopy

open access: yesJournal of Experimental Orthopaedics
Purpose To utilize advanced topic modelling through the Bidirectional Encoder Representations from Transformers Topic (BERTopic) model to investigate research topics in the journal Knee Surgery, Sports Traumatology, Arthroscopy (KSSTA).
Henry Baird   +6 more
doaj   +1 more source

Operational Issues in Platform-Based Supply Chain Information Systems: A BERTopic-Based Analysis

open access: yesUluslararası Ekonomi, İşletme ve Politika Dergisi
This study aims to identify the operational issues encountered by business partners in platform-based supply chain information systems through mobile application reviews.
Oğuz Emre Balkar   +3 more
doaj   +1 more source

Analisis Komparatif Pemodelan Topik Promosi Judi Online pada Komentar YouTube Menggunakan Latent Dirichlet Allocation dan BERTopic [PDF]

open access: yes
This study aims to analyze topics in YouTube comments related to online gambling using Latent Dirichlet Allocation (LDA) and BERTopic, as well as to compare the performance of both methods.
Irsyad, Hafiz, Wahyuni, Nur Aisyah
core  

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

open access: yesJournal 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   +6 more
doaj   +1 more source

Topic-Keyword data output by the BERTopic model.

open access: yes
This study aims to enhance governmental decision-making by leveraging advanced topic modeling algorithms to analyze public letters on the "People Call Me" online government inquiry platform in Zhejiang Province, China.
Zhouyi Gu (17972850)   +2 more
core   +1 more source

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

open access: yesData 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   +2 more
openaire   +3 more sources

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