This project provides various approaches to text summarization, leveraging different libraries, algorithms, and machine learning models. It includes implementations using traditional Python algorithms ...

A text summarization model takes a long text and creates a shorter version while preserving its main points. It works by extracting key sentences directly (extractive summarization) or rephrasing the ...

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 ...

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 ...