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A newer version of the Gradio SDK is available:
6.2.0
metadata
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: