📄 ml_text_summarizer #

A lightweight, multilingual extractive text summarizer written in pure Dart.
It supports English 🇺🇸 and Turkish 🇹🇷 by default and is easily extensible to other languages.

✨ Features #

• ✅ Extractive text summarization
• 🌍 Multilingual stopword support (English & Turkish included)
• ⚙️ Pure Dart implementation – no native dependencies
• 🧩 Easily extensible stopword manager
• 🧪 Unit tested
• 🚀 pub.dev-ready

📦 Installation #

Add the following to your pubspec.yaml:

dependencies:
  ml_text_summarizer: ^1.0.0

Then run:

dart pub get

🚀 Usage #

import 'package:ml_text_summarizer/ml_text_summarizer.dart';

void main() {
  final summarizer = TextSummarizer(
    maxSentences: 2,
    language: 'en', // or 'tr' for Turkish
  );

  const text = '''
  Artificial Intelligence is transforming the world by enabling machines to learn from data.
  It helps automate tasks, speed up decision-making, and improve productivity.
  AI is used in healthcare, finance, education, and more.
  ''';

  final summary = summarizer.summarize(text);
  print('Summary:');
  print(summary);
}

🧪 Running Tests #

dart test

📚 Example Output #

Input:

"Artificial Intelligence is transforming industries. It enables automation and intelligent decision-making. AI is used in healthcare, finance, and robotics."

Summary:

"Artificial Intelligence is transforming industries. It enables automation and intelligent decision-making."

🔧 Extending to Other Languages #

You can register your own stopword list:

StopwordManager().addLanguage('es', {'el', 'la', 'de', 'que', 'y'});

📄 License #

MIT © 2025 Mehmet Çelik

🌐 Links #

• Pub.dev Page
• GitHub Repo