MohanKrishnaGR/Infosys_Text-Summarization
This repository contains the implementation of a Transformer-based model for abstractive text summarization and a rule-based approach for extractive text summarization.
This tool helps professionals quickly condense lengthy text documents into shorter summaries without losing the core information. You input a long piece of text – like a news article, legal document, research paper, or even a conversation – and it outputs a concise summary. It's designed for anyone who needs to grasp key information from large amounts of text efficiently, such as researchers, legal professionals, or content analysts.
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Use this if you need to rapidly process and understand the main points from long documents across various domains, saving time and effort.
Not ideal if you require human-level nuance, subjective interpretation, or perfect stylistic flow in every summary.
Stars
9
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2
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jul 21, 2024
Commits (30d)
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