This repository contains an AI-based Text Emotion Detector Web Application created as part of IBM's Developing AI Applications Course with Python and Flask. Emotion detection extends the analysis by extracting the emotional percentages of the phrase given for feelings of joy, sadness, anger, disgust, fear and extracts the prevailing emotion, going beyond the typical polarity provided by the basic emotion analysis.
Project Title: Developing AI Applications with Python and Flask
Project Type: Final Project
Course Advance Certification Provider: IBM
- GIT (Cloud)
- HTML
- CSS
- JavaScript
- Python
- Watson NLP Library
- Flask
- Create an Emotion Detection application using the Watson NLP library
- Format the output of the application
- Packaging the application
- Run Unit tests on your application
- Porting the application to a web environment using Flask Server
- Incorporate full error handling
- Complete static code analysis 10/10
Clone or download the repository to your local machine and explore the codebase to understand the AI-based Text Emotion Detector Web Application.
If you have any questions, please feel free to reach out via my email or LinkedIn.