Project2: Text Summarization
A project that summarizes long pieces of text into concise summaries.
Project Overview
This project involves developing a text summarization model that can condense long documents into shorter, more digestible summaries. The model uses natural language processing techniques to identify key points and generate concise summaries.
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How it Works
Text Analysis
The model analyzes the input text to identify key phrases and sentences.
Summary Generation
The model generates a concise summary based on the analyzed text.
Post-processing
The summary is refined and polished to ensure clarity and coherence.