Building a Sentiment Analysis App with Flask and React End To End Project | Project 03
Welcome to this comprehensive tutorial on building a Sentiment Analysis application using Flask and React! In this video, we will guide you through the entire process, from setting up the backend with Flask to creating a responsive frontend with React. Whether you're a beginner or an experienced developer, this project will enhance your skills in AI and web development.
What You'll Learn:
Setting up a Flask backend for handling sentiment analysis
Preprocessing text data to remove HTML tags, punctuation, and stopwords
Loading and using a pre-trained sentiment analysis model
Creating a React frontend to interact with the Flask backend
Making HTTP requests from React to Flask using Axios
Displaying sentiment analysis results in a user-friendly interface
Project Breakdown:
Introduction: Overview of the sentiment analysis project
Backend Setup: Setting up Flask, preprocessing text data, loading models
Frontend Setup: Creating a simple React interface, making HTTP requests
Model Training: Preprocessing data, training the model, saving with joblib
Live Demo: Demonstrating the application with sample reviews
Conclusion: Summarizing the project and its applications
Git Link : https://github.com/MrMYMSharaf/1itech...
Contact Information:
If you need help with AI/ML projects or have any questions, feel free to contact me:
Email: [email protected]
Contact Number: +094 0768355101
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Thank you for watching, and happy coding!
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