Results 71 to 80 of about 2,128 (194)
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
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
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.
Zhu, Enmin, Yen, Jerome
openaire +2 more sources
Media Coverage of European Funds and Public Sentiment: A Topic Modelling Approach
ABSTRACT We study the coverage of European funds by the mass media and the relationship between media sentiment and public sentiment. We analyze 31,570 media articles published across all European Union (EU) countries between January 1, 2020, and December 31, 2023 — a period significantly shaped by the COVID‐19 pandemic and major EU funding initiatives
Iván Pastor Sanz +1 more
wiley +1 more source
Regulatory Means for Interventionist Ends: GBER and the Transformation of the EU State Aid Regime
ABSTRACT Despite its new‐found penchant for market interventionism, the European Union (EU) is often portrayed as lacking the fiscal and administrative capacity to conduct industrial policy. The EU can regulate markets, the conventional wisdom goes, but not steer them in specific directions.
Fabio Bulfone +2 more
wiley +1 more source
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
Modeling Political Discourse with Sentence-BERT and BERTopic
Social media has reshaped political discourse, offering politicians a platform for direct engagement while reinforcing polarization and ideological divides. This study introduces a novel topic evolution framework that integrates BERTopic-based topic modeling with Moral Foundations Theory (MFT) to analyze the longevity and moral dimensions of political ...
Mendonca, Margarida, Figueira, Alvaro
openaire +2 more sources
Depression‐related symptoms, such as loss of motivation and diminished interest in activities, correspond to loss of agency. Given recent evidence that agency (or its lack) can be reliably detected in language, we investigated how linguistic manifestations of agency relate to depressive experiences.
Marta Witkowska +9 more
wiley +1 more source
Unveiling and advancing grassland degradation research using a BERTopic modelling approach
Grassland degradation presents overwhelming challenges to biodiversity, ecosystem services, and the socio-economic sustainability of dependent communities. However, a comprehensive synthesis of global knowledge on the frontiers and key areas of grassland
Tong Li +13 more
doaj +1 more source
Background With global aging and the increasing burden of noncommunicable diseases (NCDs), the primary health care (PHC) system plays a pivotal role in disease prevention and management of NCDs. Nurses, as key PHC members, significantly influence health equity and service quality.
Jiashuo Zhang +4 more
wiley +1 more source
Cluster-Based BERTopic Modeling on Swedish COVID-19 Vaccine Posts
This paper explores the prevalent themes across multiple threads on the popular Swedish discussion forum Flashback. Among its diverse array of topics, the forum actively engages users in addressing and debating questions pertaining to COVID-19 vaccines and vaccination.
Kokkinakis, Dimitrios +1 more
openaire +2 more sources

