Topic modelling, primarily using Latent Dirichlet Allocation (LDA) algorithm, was employed to uncover latent themes in patient feedback, compare patient experiences across different healthcare ...

Clinical trials are facing new and evolving challenges as costs increase and approval timelines remain lengthy. Modernisation of processes and utilisation of novel technologies can help overcome such ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

1 AI Meteorological Research Division, National Institute of Meteorological Sciences, Jeju, Republic of Korea 2 Artificial Intelligence Meteorological Technology Research Society, Korea Meteorological ...

Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China Amid intensifying educational competition and societal expectations, academic stress has emerged as a ...

Since Monday, Fox News has spent an hour and 25 minutes covering an American Eagle commercial in which Sydney Sweeney talks about her “good jeans,” devoting over 20 segments to the story. In ...

A production-ready data pipeline that fetches news articles, applies your trained LDA model for topic classification, stores results in MySQL, and provides real-time Power BI dashboards via ...

Extract topics and summarise outputs using Large Language Models (LLMs), either local, Gemini, Azure, or AWS Bedrock models (e.g. Claude, Nova models). The app will query the LLM with batches of ...

ABSTRACT: Kenya has, since independence, experienced food insecurity and, in mitigation measures, designed a number of policies from 1981 to date. Each of the policies appeared to be building on the ...