Results 61 to 70 of about 1,751 (215)
A Data‐Driven Review of Geoscience Research Evolution Using SciBERT‐Based Topic and Network Analysis
This review synthesises the evolution of global geoscience research from 2004 to 2023 using large‐scale bibliometric evidence. By combining keyword co‐occurrence network analysis with SciBERT‐based topic modelling, it identifies major paradigm transitions from geology‐centred research to climate‐focused studies and recent data‐ and AI‐driven ...
Sooyeon Han, Ju‐seop Kim
wiley +1 more source
Travel Guide Using Text Mining and BERTopic [PDF]
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
Mapping themes of heritage tourism with BERTopic—evidence from Nánxún Ancient Town
World Cultural Heritage sites are not only historical legacies but also spaces where visitors’ experiences and emotions are articulated. As the first Jiangnan ancient town inscribed on the UNESCO World Heritage List, Nánxún Ancient Town represents a ...
Yinying Tao +4 more
doaj +1 more source
Analyzing Public Sentiment on Electric Vehicles Through BERTopic and Emotion-Based Data Clustering
The escalating impact of technological advancements on worldwide society prompts a closer examination of their profound consequences. Enhanced communication methods and the significant influence of social media platforms stand out as critical factors ...
Kamal H. Jihad +3 more
doaj +1 more source
استخراج موضوع از متون فارسی با استفاده از چهارچوب BERTopic، مدلهای تعبیه زبانی و خوشه بندی متن [PDF]
با رشد اطلاعات، استخراج دانش از مجموعههای متنی اهمیت یافته است. استخراج موضوع، تکنیکی بدون نظارت در یادگیری ماشین است که مضامین پنهان اسناد را کشف میکند. در این مقاله، با الهام از BERTopic، روشی بدون نظارت برای استخراج موضوع از متون فارسی ارائه شده است.
زهرا فلاحی +1 more
doaj +1 more source
ABSTRACT This paper investigates the evolving landscape of research on the economics of artificial intelligence (AI). Using topic modeling on a corpus of over 4,600 academic papers, we identify the dominant themes that have shaped the literature to date and highlight areas that remain relatively underexplored. In addition, we assess the extent to which
Lucy Hampton, John Lourenze Poquiz
wiley +1 more source
Utilizing IndoBERT and BERTopic to Explore Public Opinion on BPS Instagram Posts
This study aims to analyze public sentiment and topics of opinion toward the Central Statistics Agency (BPS) through comments on the Instagram account @bps_statistics.
Ahmad Farhan Anugrah, Rendy Dwi Agatha
doaj +1 more source
Delineating gender/sex‐related studies through bibliometric analysis
Abstract The multidisciplinary and socially grounded nature of Women's/Gender/Feminist Studies poses unique challenges for bibliometric analysis, as it extends beyond conventional disciplinary boundaries. This paper makes three key contributions: (1) We propose a novel retrieval method for constructing a corpus of scholarly documents in research areas ...
Natsumi S. Shokida +2 more
wiley +1 more source
Neural topic modeling with BERTopic : submodel selection factors and overall model evaluation metrics [PDF]
This thesis provides insights into the BERTopic framework for topic modeling by examining sub-model selection and aims to retrieve and assess evaluation metrics specific to neural topic models developed in current literature.
Valentin, Antes
core +4 more sources
Knowledge management and innovation in healthcare
In order to increase the effectiveness of medical care and adapt to Industry 4.0 technologies, it becomes necessary to determine the current directions of healthcare development.
N. N. Masyuk +3 more
doaj +1 more source

