NLPIFFY

NLPiffy This project comprises of 3 different NLP technique all put togather as an ML ToolKit

Features

• ToKenizer: This uses a verbose tokenizer mechanic to generate tokens and lemma's

• NER Uses en_core_web_sm model for Named-Entity-Recognition

• Sentiment-Analysis Uses TextBlob module for Sentimental Analysis

Prerequisites

• Python 3.11 installed on your system.
• Bash or any compatible terminal.

Getting Started

• Environment Isolation: Utilizes a virtual environment to keep dependencies isolated.

• Dependency Management: Easy to install and manage dependencies with requirements.txt.

• Cross-Platform Support: Works on any platform that supports Python.

Setup

1. Clone the Repository:

   git clone https://github.com/raghulchandramouli/NLPiiffy.git
   cd your-repository
   

Usage

To run this project, make sure the virtual environment is activated and then execute the app script or application:

`python app.py`

Contributing:

All kinds of contributions are strictly welcome :)

- Fork the repository.
- Create a new branch (git checkout -b feature/your-feature)
- Make your changes and commit them (git commit -m 'Add some feature').
- Push to the branch (git push origin feature/your-feature).
- Open a pull request.

License:

**NLPiffyy is licensed under `MIT License`**

To view this in action:

https://raghulchandramouli-nlpiiffy-app-f1iklv.streamlit.app/