Results 51 to 60 of about 1,751 (215)
Topic 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 +1 more source
Background A data mining algorithm is proposed based on BERTopic to provide new insights into the analysis of medication rules in Traditional Chinese Medicine (TCM) prescriptions.
Hongchen Li, Xinyi Lu, Yujia Wu, Jie Luo
doaj +1 more source
Abstract I analyze differences between the core and extended trading sessions in the high‐frequency reaction of equity markets to potential news. Using presidential tweets as unanticipated, potentially market‐stirring events, I find that volatility increases and liquidity deteriorates within fractions of a second after a tweet.
Stefan Scharnowski
wiley +1 more source
Topic-Keyword data output by the BERTopic model. [PDF]
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
Evaluation of Creative Economy and Tourism Industry Trends based on LDA Analysis with BERTopic
Creative economy and tourism industry have a role in contributing country's foreign exchange. Efforts continue to be improved by utilizing social media.
Icha Nura Nugraha, Ema Utami
doaj +1 more source
Membrane distillation (MD) is proposed as an environmentally friendly technology of emerging interest able to aid in the resolution of the worldwide water issue and brine processing by producing distilled water and treating high-saline solutions up to ...
Ersin Aytaç, Mohamed Khayet
doaj +1 more source
Green Bond Paper Topics, Journal Metrics and Post‐publication Diffusion
ABSTRACT Green bonds are important financial instruments in sustainable finance, generating a rapidly expanding academic literature. This paper identifies the topics analyzed in green bond academic research and examines how these topics are associated with journal and post‐publication diffusion metrics. Using 1048 paper abstracts published between 2015
Paraic McGee, Tom Egan, Sheila O'Donohoe
wiley +1 more source
Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu +8 more
wiley +1 more source
Fintextsim: Enhancing Financial Text Analysis with Bertopic
Recent advancements in information availability and computational capabilities have transformed the analysis of annual reports, integrating traditional financial metrics with insights from textual data. To extract valuable insights from this wealth of textual data, automated review processes, such as topic modeling, are crucial. This study examines the
Jehnen, Simon +2 more
openaire +2 more sources
Main Directions of Arctic Policies in Reports by US Think Tank
Introduction. Against the backdrop of escalating conflict in Ukraine and deepening Russian-Chinese cooperation in the Arctic, US policy is demonstrating new trends. The aim of this study is to identify the main stages in the evolution of US Arctic policy,
Peiying Lv
doaj +1 more source

