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sentiment-analysis's Introduction

SENTIMENT-ANALYSIS

Welcome to the Sentiment Analysis Web App repository! This project allows you to analyze the sentiment of text input, whether it's positive, negative, or neutral. It's designed to be user-friendly and accessible for everyone.

๐Ÿš€ Key Features:

Real-time sentiment analysis of text.
Utilizes state-of-the-art NLP models.
User-friendly web interface.

Getting Started

Clone the repository to your local machine:

bash

git clone https://github.com/your-username/sentiment-analysis-app.git

Set up a Python virtual environment and install the required packages:

bash

pip install -r requirements.txt

Run the app locally:

bash

python app.py

The app will be accessible at http://localhost:5000. Acknowledgments

We're immensely grateful for the contributions of open-source projects and pre-trained models that made this app possible:

Hugging Face Transformers: For providing state-of-the-art NLP models.
PyTorch: For the powerful deep learning framework.
Flask: For the flexible web framework.
DistilBERT: For the pre-trained sentiment analysis model.

sentiment-analysis's People

Contributors

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