🎬 Sentiment Analysis for Movie Recommendations 🍿

🌟 Introduction 🌟

Welcome! 🖐️ This project is designed to make movie recommendations more personalized and accurate by analyzing user reviews. I use Sentiment Analysis to understand the emotional tone of reviews, helping me suggest movies that match your preferences. 🎉

🚀 Key Features 🚀

• Sentiment Analysis and Content Based Filtering: I employ advanced natural language processing techniques to determine the sentiment (positive, negative, neutral) of user reviews. 🎭
• Enhanced Recommendations: My system integrates sentiment data into the recommendation algorithm to tailor movie suggestions to your individual tastes. 🍿
• Model Training and Customization: You can train and customize your own sentiment analysis model using my provided datasets and scripts. It's like teaching a computer to understand movies! 🤖
• Data Visualization: I provide graphical representations of sentiment analysis results to help you gain insights into user opinions and trends. 📊

This project combines machine learning and natural language processing to create a more nuanced and effective movie recommendation system by understanding and incorporating the emotional tone of user reviews.

Example Use Case Screenshots

ROOT PAGE

NEGATIVE REVIEW AND RESPONSE

1

2

POSITIVE REVIEW AND RESPONSE

1

2

SEARCH FUNCTIONALITY

To Use | Modify

1. Clone repo or fork or whatever.

2. Move into enter-at-own-risk/ directory and create venv.

3. Install requirements.txt and then run.

4. Should be live on port 5000.