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Ykode/movie-sentiment-analysis

sourceHugging Faceupdated 4mo agoView on Hugging Face

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App README

🎬 Movie Sentiment Analysis

A Flask + TensorFlow web application that predicts whether a movie review is Positive or Negative using a trained deep learning model.

🚀 Features

—Real-time sentiment prediction
—Deep learning model built with TensorFlow/Keras
—Text preprocessing using a trained tokenizer
—Clean and responsive web interface
—Prediction history support

🛠️ Tech Stack

—Python
—Flask
—TensorFlow / Keras
—HTML, CSS, JavaScript
—NumPy
—Pickle

📂 Project Structure

text

.
├── app.py
├── model-002.keras
├── tokenizer.pkl
├── requirements.txt
├── Dockerfile
├── templates/
│   └── index.html
└── static/
    └── style.css

🧠 Model Information

—Input: Movie review text
—Preprocessing: Tokenization and sequence padding
—Output: Positive or Negative sentiment
—Framework: TensorFlow / Keras

⚙️ Run Locally

Clone the repository

bash

git clone https://github.com/tripathi-yash/movie-sentiment-analysis.git
cd movie-sentiment-analysis

Create a virtual environment

bash

python -m venv venv

Windows:

bash

venv\Scripts\activate

Linux/Mac:

bash

source venv/bin/activate

Install dependencies

bash

pip install -r requirements.txt

Start the application

bash

python app.py

Open:

text

http://localhost:5000

📊 Example

Input

text

This movie was absolutely amazing. The acting and storyline were fantastic.

Output

text

Positive

👨‍💻 Author

Yash Tripathi

GitHub: https://github.com/tripathi-yash