VibeCheckGUI

A simple machine learning model for analyzing the emotionality of text with ~87% accuracy.

Emotional Categories

sadness, joy, love, anger, fear, surprise

Screenshot

Usage

Type a prompt into the textbox and the model will analyze it live.

Note: the accuracy tends to improve as you type more words.

Credit

Vibe.py Implementation

Author: Ellie Moore

Training Data Used

https://www.kaggle.com/datasets/bhavikjikadara/emotions-dataset Author: Bhavik Jikadara License: https://creativecommons.org/licenses/by/4.0/ Changes Made: None

References

https://web.stanford.edu/~jurafsky/slp3/4.pdf Authors: Daniel Jurafsky & James H. Martin