IEEE

ConText Mining: Complementing Topic Models with Few-Shot In-Context Learning to Generate Interpretable Topics

Abstract: Topic models are widely used across various domains to effectively cluster text-based documents and reveal their underlying themes. However, representing these clustered topics using ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
InfoWorld

First look: Run LLMs locally with LM Studio

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.
Communications of the ACM

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

A marriage of formal methods and LLMs seeks to harness the strengths of both.
Journal of Medical Internet Research

Digital Hostility Toward LGBTQIA+ Research Recruitment on Social Media Using Topic Modeling and Sentiment Analysis of Facebook Comments: Quantitative Content Analysis Study

Digital Hostility Toward LGBTQIA+ Research Recruitment on Social Media Using Topic Modeling and Sentiment Analysis of Facebook Comments: Quantitative Content Analysis Study ...
IEEE

Towards a Supervised Topic Model Based on Searching of Semantic Center of Mass

Abstract: In the age of digital transformation, managing and extracting meaningful topics from large, diverse document collections is increasingly important. This paper introduces the Understanding ...