Text Summarizer

This project is a web-based text summarization system built with Python and Flask, leveraging classical NLP techniques and the PageRank algorithm to extract key sentences from a document and produce a concise summary

Overview

• Objective: Generate concise and meaningful summaries of given text documents.
• Techniques Used:
  • Natural Language Processing (NLP)
  • Python with NLTK (Natural Language Toolkit) and PageRank algorithm

Project Highlights

1. Text Summarization:

   • Developed a robust text summarization system using NLP techniques.
   • Implemented the PageRank algorithm for extracting key sentences.

2. NLP Techniques:

   • Leveraged NLP methods for pre-processing text data.
   • Explored algorithms for identifying and extracting essential information.

3. PageRank Algorithm:

   • Applied the PageRank algorithm to rank sentences and select the most important ones for the summary.