Emotion Recognition

Table of contents

• The challenge
  • Overview
• My process
  • Built with
  • Result of classifier
  • Useful resources
• Author

The challenge

Create a program to determine the understanding of Natural Language processing and machine learning skills. Handson experience on Jupyter Notebook code.

Overview

In this project, we have used NLP for predicting the emotions based on the message entered by the user. It predicts 6 emotions as follows: sadness, love, anger, joy, fear and surprise.

My process

• You can save your model in .pkl file, which can be integrated in other webapps or mobile applications.
• Below is the link for .pkl file for trained model.
• PKL file link

Built with

• Python 3
• pandas
• fastai

Result of classifier

Useful resources

• Text Message dataset
• Fastai Documentation - This helped me for understanding all concepts of fastai library. This is the top of my list for machine learning development.

Author

• Abhinav Shukla