Abstract: Automatic text summarization (ATS) has developed as a vital method for compressing massive amounts of textual content into concise and useful summaries, to retrieve more effective and useful ...

ABSTRACT: This paper examines the extent to which competencies taught in Congolese universities match the skills required by the labour market. Using official curricula from the Ministry of Higher and ...

Add a description, image, and links to the python-summarization-text-summarization topic page so that developers can more easily learn about it.

Karandeep Singh Oberoi is a Durham College Journalism and Mass Media graduate who joined the Android Police team in April 2024, after serving as a full-time News Writer at Canadian publication ...

Introduction: Text summarization is a longstanding challenge in natural language processing, with recent advancements driven by the adoption of Large Language Models (LLMs) and Small Language Models ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

Gallagher, S., Rallapalli, S., and Brooks, T., 2025: Evaluating LLMs for Text Summarization: An Introduction. Carnegie Mellon University, Software Engineering ...