https://github.com/karimosman89/legal-document-nlp

Create a tool that uses NLP to extract key information from legal documents, contracts, or agreements.Use NLP techniques for named entity recognition and text classification.Streamline the review process for legal teams by automating information extraction.
https://github.com/karimosman89/legal-document-nlp

nltk python scikit-learn spacy

Last synced: about 2 months ago
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Create a tool that uses NLP to extract key information from legal documents, contracts, or agreements.Use NLP techniques for named entity recognition and text classification.Streamline the review process for legal teams by automating information extraction.

• Host: GitHub
• URL: https://github.com/karimosman89/legal-document-nlp
• Owner: karimosman89
• License: mit
• Created: 2024-10-31T10:40:23.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-07T10:11:56.000Z (about 2 months ago)
• Last Synced: 2024-11-07T11:23:29.707Z (about 2 months ago)
• Topics: nltk, python, scikit-learn, spacy
• Language: Python
• Homepage:
• Size: 16.6 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Natural Language Processing for Legal Documents

This project extracts key information from legal documents using NLP.

## Overview

The system identifies named entities and summarizes documents.

## Dataset

- Publicly available legal documents or create a synthetic dataset.

## Setup

Install dependencies:

    pip install -r requirements.txt

## Usage

- Run the extraction script:

       python src/extraction.py

    

- Summarize documents:

       python src/summarization.py