Sentiment Predictor Healthcare Chatbot Using Deep Learning

The healthcare industry is witnessing an exciting shift toward intelligent systems that deliver timely and reliable assistance to users. A healthcare chatbot powered by sentiment prediction can play a crucial role in providing information, answering FAQs, and easing patient concerns — especially during times of crisis like the COVID-19 pandemic. In this project, we’ll develop a chatbot that predicts user sentiment and provides contextually relevant responses based on a dataset of COVID-19-related questions. Let’s dive into the step-by-step creation of a sentiment-predictor healthcare chatbot using deep learning!

Table of Contents

• Introduction to Sentiment Analysis in Chatbots
• Project Setup and Dataset Preparation
• Data Preprocessing
• Building the Deep Learning Model
• Implementing the Chatbot Interface
• FAQs
• Conclusion

Introduction to Sentiment Analysis in Chatbots

Sentiment analysis, often referred to as opinion mining, is a natural language processing (NLP) technique used to determine the emotional tone of textual data. When applied to a healthcare chatbot, sentiment analysis can…