This project is part of the Capstone Project. The goals of this project are as follows:
- Conduct data exploration to understand the distribution of GoEmotions data.
- Build multi-class classification models to determine emotions in given text.
a. Naive Bayes
b. Multi-layer Perceptron
c. LSTM - Develop a web interface to:
a. Present data analysis of GoEmotions
b. Display emotions in a user-input sentence.
The original dataset and the paper can be found over here : GoEmotions Repo
The video of the final presentation can be found over here: Final Presentation