NLP Powered Q&A with React.js and Tensorflow.js BERT

Learn how to build an NLP-powered Question Answering web application using React.js and TensorFlow.js BERT in this 28-minute tutorial. Discover how to extract deeper insights from text and integrate advanced Natural Language Processing into your web apps. Follow step-by-step instructions to install dependencies, import libraries, set up state and reference hooks, load the BERT model, handle questions and model responses, code the user interface, and test the application. Gain practical experience in implementing state-of-the-art AI technology for text analysis and insight extraction, perfect for startups and developers looking to enhance their projects with cutting-edge NLP capabilities.

- Start
- Installing Dependencies
- Importing Dependencies
- Setting up State and Reference Hooks
- Loading the BERT Model from Tensorflow.JS
- Handling Questions and Model Responses
- Coding the User Interface in JSX
- Testing the App with Results
- Applying Prediction Score Formatting
- Final App