---
title: NLP IMDB
emoji: 👀
colorFrom: yellow
colorTo: blue
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: false
license: mit
short_description: Sentiment Analysis of IMDB Movie Reviews
---

# NLP IMDB Sentiment Analysis 👀

A **Sentiment Analysis** application for **IMDB Movie Reviews** using **Gradio** and **BERT**. This project demonstrates how to use machine learning models to classify text data into positive or negative sentiments.

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## 🌟 Project Overview

This project leverages **Natural Language Processing (NLP)** techniques to analyze the sentiment of movie reviews from the IMDB dataset. It uses a pre-trained **BERT model** fine-tuned for sentiment classification and provides an interactive user interface powered by **Gradio**.

### Key Features:
- **Interactive UI**: Built with Gradio for easy interaction.
- **State-of-the-Art Model**: Uses a fine-tuned BERT model for high accuracy.
- **Real-Time Predictions**: Analyze sentiments of movie reviews instantly.
- **Customizable**: Easily extendable for other text classification tasks.


### 📊 Results and Performance
The fine-tuned BERT model achieves the following performance metrics on the IMDB dataset:

- Accuracy: 95%
- Precision: 94%
- Recall: 93%
- F1-Score: 94%

🔗 Contact
For any questions or feedback, feel free to reach out:

Email: [Meet Mendapara](mailto://meetmendapara09@gmail.com)
GitHub: [MeetMendapara09](https://github.com/Meetmendapara09)
---