Results 71 to 80 of about 1,153 (163)

Exploring the Tourism Sustainability Knowledge Network Through Bibliometric Analysis and a Computational Literature Review

International Journal of Tourism Research, Volume 28, Issue 3, May/June 2026.
ABSTRACT This research conducts an in‐depth review of the literature on sustainability and tourism, using an innovative methodology that combines bibliometric analysis with advanced computational literature review techniques, specifically topic modeling. Through an analysis of 9449 studies, we provide an updated, comprehensive, and detailed overview of
Maria Fernanda Bernal Salazar, Elisa Baraibar‐Diez, Jesús Collado Agudo   +2 more
wiley   +1 more source

Quantitative identification and characterization of technological trends in the electric vehicle industry

Journal of Intellectual Property
With growing attention being paid to electric vehicle (EV) technology as a response to climate change, researchers have been actively investigating the classification and trajectory trends of EV technology.
Wonjun Choi, Hyunseok Park
doaj   +1 more source

MaartenGr/BERTopic: v0.16.2

Leveraging BERT and c-TF-IDF to create easily interpretable ...
Anastasia Simonoff, zilch42, Joshua Sundance Bailey, Ahmed Elashry, Aratako, Jamie Snape, Jiaxin Wen, Franz Louis Cesista, Bob, Carlos Pegueros, Daniel van Strien, Gus Moir, Anubhab Das, Luis Oala, LawrenceFulton, James Nicholson, Elton Liao, Leland McInnes, Josiah Outram Halstead, Domenic Rosati, Anoop Thomas Mathew, Felipe Alves Siqueira, Daniel Kapitan, Maarten Grootendorst, Alex Gamble, Chris Inskip, dschwalm, David Dai, Heinz-Alexander Fuetterer, Danny Huang   +29 more
core   +1 more source

Scientific Computing 2023 : Conference Proceedings / Granigg, Wolfgang / Tracking the evolution of climate protection discourse in Austrian newspapers : a comparative study of BERTopic and dynamic topic modeling

, 2023
This study focuses on the media discourse surrounding climate protection in Austrian newspapers. Two topic modeling methods, Dynamic Topic Model (DTM) and BERTopic, are compared to investigate topic evolution, i.e. changes in the salient words of a topic
Adam, Raven, Kogler, Marie
core   +1 more source

AlkaPlorer: A database‐driven explorer for natural alkaloids and derivatives

Journal of Integrative Plant Biology, Volume 68, Issue 5, Page 1384-1398, May 2026.
The alkaloid database AlkaPlorer integrates over 130,000 compounds across 12,250 species. By linking chemical structures with biological and evolutionary data, it reveals how these molecules evolve and function. This platform serves as a vital resource for AI‐driven discovery in plant metabolism and modern drug development. ABSTRACT Alkaloids, renowned
Jiahao Li, Tao Zeng, Hongquan Xu, Xu Kang, Minghui Liang, Ruibo Wu   +5 more
wiley   +1 more source

BERTopic for Swedish: Topic modeling made easier via KB-BERT

, 2022
Topic modeling is an exciting option for exploring and finding patterns in large volumes of text data. While this previously required considerable programming skills, a recent innovation has simplified the method to make it more accessible for ...
Haffenden, Chris,, Fano, Elena,
core  

Human tests for machine models: What lies “Beyond the Imitation Game”?

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley   +1 more source

Exploring Public Converse on AI via Reddit: A Topic Modeling and Sentiment Analysis Approach

Journal of Social Computing
The 21st Century is a compressed century, where Artificial Intelligence (AI) plays a crucial role in the new phase of digital transformation, disrupting various aspects of society, including art, education, and healthcare.
Xi Chen, Tala Talaei Khoei, Aditi Singh
doaj   +1 more source

ChatCM‐RAG: A deep learning‐based natural language processing pipeline for analysing ChatGPT applications in medicine using BERTopic and transformer‐based retrieval‐augmented generation

Clinical and Translational Discovery, Volume 6, Issue 2, April 2026.
• Topic‐aware pipeline maps 904 PubMed LLM‐in‐medicine papers into four themes. • BERTopic + Facebook artificial intelligence Similarity Search enables fast, semantically aligned evidence retrieval at scale. • Closed‐corpus prompting and PMID validation yielded no fabricated citations in pilot tests.
Cheng Zhang, Ning Wang, Guoming Chen, Yibin Feng   +3 more
wiley   +1 more source

Sentiment Analysis of AI-Driven Job Automation in Indonesia: Integrating LSTM, BERTopic, and Time-Series Forecasting for Job Displacement Risk Prediction

Journal of Applied Informatics and Computing
The rapid advancement of artificial intelligence (AI) has intensified public concerns regarding job automation and potential workforce displacement. While previous studies often examine sentiment, topic modeling, or temporal trends separately, this study
Valencia Elcheiana Irawan, Adi Suryaputra Paramita   +1 more
doaj   +1 more source