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| 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. | |
| --- | |
| ## 🌟 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) | |
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