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
Don't forget to like, share, and subscribe for more tutorials on AI, Machine Learning, and Web Development!
Thank you for watching, and happy coding!
#SentimentAnalysis #Flask #React #MachineLearning #AI #DataScience #NLP #Python #JavaScript
Watch video Building a Sentiment Analysis App with Flask and React End To End Project | Project 03 online without registration, duration hours minute second in high quality. This video was added by user 1itech 22 June 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 7 once and liked it people.