blobchat 0.1.0

Chat text cleaning library (slang → meaningful text)

BlobChat

A lightweight Python library for transforming raw chat text into structured, meaningful data.

BlobChat helps you clean, analyze, and convert chat conversations (like WhatsApp, Messenger, etc.) into useful insights — similar to how pandas works with tabular data.

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🚀 Features

• 🧹 Clean and normalize chat text

• 🔥 Remove emojis and unwanted symbols

• 📊 Word count and basic text analysis

• 🧠 Simple, chainable API (like pandas)

• ⚡ Lightweight and easy to use

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📦 Installation

pip install blobchat

⚠️ Currently under development. For latest version:

git clone https://github.com/p4prince2/blobchat.git
cd blobchat
pip install -e .

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🧪 Quick Example

from blobchat import Chat

chat = Chat("Hello BRO!!! 😄🔥 How are you?")
chat.clean().remove_symbols()

print(chat.text)
print(chat.word_count())

Output:

hello bro how are you
5

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🧠 Planned Features

• 📂 Read chat files (WhatsApp, etc.)

• 👥 Detect users and messages

• 📅 Extract timestamps

• 📊 Convert chats to DataFrame

• 📈 Analytics (top users, word frequency, etc.)

• 😊 Sentiment analysis

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🏗️ Project Structure

blobchat/
├── src/blobchat/
│   ├── __init__.py
│   └── core.py
├── tests/
├── README.md
├── pyproject.toml

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🧑‍💻 Development

Clone the repo and install in editable mode:

git clone https://github.com/p4prince2/blobchat.git
cd blobchat
pip install -e .

Run tests:

pytest

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🤝 Contributing

Contributions are welcome!
Feel free to open issues or submit pull requests.

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📄 License

MIT License

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👨‍💻 Author

Prince Kushwaha
GitHub: https://github.com/p4prince2