An advanced, interactive React app for extractive document summarization using TF-IDF ranking and sentence extraction. Built for speed, clarity, and modern NLP experimentation.
- Extractive Summarization: Uses TF-IDF-inspired ranking to select the most important sentences.
- Key Points & Ranked Sentences: Instantly switch between concise bullet points and full ranked sentences.
- Quality Metrics: Automatic evaluation for coherence, relevance, informativeness, and conciseness.
- Downloadable Summaries: Export your results as a text file for sharing or further analysis.
- Modern UI: Clean, responsive interface built with React 19 and TypeScript.
- React 19
- TypeScript
- NLP Algorithms (TF-IDF, sentence extraction)
- Node.js (v16 or higher recommended)
- npm
git clone https://github.com/Seerxt01/NPL-Text-Summarizer.git
cd NPL-Text-Summarizer
npm installYou can use any React-compatible build tool (Vite, CRA, Next.js, etc.). Import and render the NLPTextSummarizer component in your app:
import NLPTextSummarizer from './NLPTextSummarizer';
function App() {
return <NLPTextSummarizer />;
}- Paste or upload your document text.
- Summarize: Instantly view key points or ranked sentences.
- Evaluate: See metrics for summary quality.
- Download: Export your summary for sharing or research.
- Adjust summary length, number of sentences, and system prompt in the component state.
- UI uses standard HTML elements for easy styling and integration.
NLPTextSummarizer.tsx— Main React componentpackage-lock.json— Dependency lock file
react^19.1.1react-dom^19.1.1@types/react^19.1.13@types/react-dom^19.1.9
- Educational: Learn how modern NLP techniques work in practice.
- Research: Prototype and test extractive summarization ideas quickly.
- Productivity: Summarize long documents in seconds.
MIT — Free for personal and commercial use.
A simple React-based extractive document summarizer using TF-IDF ranking and sentence extraction. This project demonstrates key NLP techniques for summarizing text and evaluating summary quality.
- Extractive summarization using TF-IDF-inspired ranking
- Key points and ranked sentences display
- Evaluation metrics: coherence, relevance, informativeness, conciseness
- Download summary as a text file
- Built with React 19
- Node.js (v16 or higher recommended)
- npm
- Clone the repository:
git clone https://github.com/Seerxt01/NPL-Text-Summarizer.git cd NPL-Text-Summarizer - Install dependencies:
npm install
You can use any React-compatible build tool (e.g., Vite, Create React App, Next.js) to run the app. For a quick start, add this component to your React project and render it in your main app file.
NLPTextSummarizer.tsx: Main React component implementing the summarizer UI and logicpackage-lock.json: Dependency lock file (React 19, TypeScript types included)
react^19.1.1react-dom^19.1.1@types/react^19.1.13@types/react-dom^19.1.9
- Paste or upload your document text.
- Click to summarize and view key points or ranked sentences.
- Download the summary as a text file.
- You can adjust summary length, number of sentences, and system prompt in the component state.
- UI uses standard HTML elements for easy styling and integration.
MIT