Topic modelling, primarily using Latent Dirichlet Allocation (LDA) algorithm, was employed to uncover latent themes in patient feedback, compare patient experiences across different healthcare ...
Future studies could apply targeted search strategies or sub-topic modeling to better isolate heatwave-related AI applications—for example, focusing specifically on urban heatwaves (where AI-driven ...
To ensure that the topics extracted through LDA modeling had high quality and representativeness, the study used the CoherenceModel class from the Gensim library (an open-source Python library ...
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 ...
ABSTRACT: This study examines the specific techniques Disneyland applies to its experience marketing, which have helped it become a theme park leader. In the current marketplace, companies have to ...
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