echo-feeling 1.0.1

A lightweight Python library for detecting emotional tone in product review.

# Echo Feeling




**Echo Feeling** is a lightweight Python library that analyzes emotional tone from text and returns a simple emotional response.

It is designed to be simple, fast, and easy to integrate into applications such as chatbots, AI assistants, and sentiment analysis tools.

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## Installation

Install directly from PyPI:

pip install echo-feeling

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## Usage

Example usage:

from echo\_feeling.api import analyze



text = "I feel really happy today!"

result = analyze(text)



print(result)

Example output:

positive

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## Features

* Simple emotion detection from text

* Lightweight and fast

* Easy integration into Python applications

* Works with Python 3.8+

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## Project Structure

echo\_feeling/

│

├── echo\_feeling/

│   ├── \_\_init\_\_.py

│   ├── api.py

│   └── engine.py

│

├── README.md

├── requirements.txt

└── setup.py

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## Example Use Cases

Echo Feeling can be used in:

* Chatbots

* AI assistants

* Social media sentiment analysis

* Customer feedback analysis

* Mood tracking applications

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## Contributing

Contributions are welcome!

1. Fork the repository

2. Create a new branch

3. Make your changes

4. Submit a pull request

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## License

This project is licensed under the MIT License.

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## Links

GitHub Repository:

https://github.com/Becadyop/final

PyPI Package:

https://pypi.org/project/echo-feeling/

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## Author

Created by Ivin,Romin,Arun,Swathilekshmi.