Abstract: Text summarization is gaining attention from readers who want to understand the main concept of the entire text. One of the natural language processing forms, “Named Entity Recognition” (NER ...

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 ...

Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...

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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 ...

Objective: This study aims to present the current state of the art on clinical text summarization using large language models, evaluate the level of evidence in existing research and assess the ...

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 ...

Justin Pot is a freelance journalist who helps people get more out of technology. CSV, or Comma Separated Values, are files used for all kinds of things, from managing large datasets to exporting data ...

If you don’t know what CSV stands for, stop right here. It stands for “comma-separated values” and is a funny, least-common-denominator format used to pass field-based data in rows—tabular ...