yu-niverse / finding-your-personality-palette

Using AI models to generate color palette from given text

Finding Your Personality Palette

Check Point Report: https://reurl.cc/1Z7ADp
Video: https://reurl.cc/e372xM

Author

Chieh-Yu Chuang, Chun-Pei Chen
National YangMing ChiaoTung University Hsinchu, Taiwan

Introduction

The topic idea comes from our enthusiasm towards color science and psychological tests. We found out that the psychology tests nowadays restrict their participants to answer particular questions to get an customized output. However, since people's emotions and personality are quite complicated, we think it would be better to accept a wider range of inputs to analyze the results better. Also, we believe that dialogues may not contain only one type of emotions, it could be complicated combinations. Therefore, we chose to show our results via colors.

Prerequisites

Environment: Google Colaboratory
Packages version: refer to requirements.txt in our github

Usage

Dataset: https://reurl.cc/VDQxYn
Happy　35%
Sadness　31%
Anger　15%
Fear　14%
Surprise　5%

Hyperparameters

Epoch/iteration: 10
Learning Rate: 0.01
TrainData, ValidationData, and TestData proportion: 6-1-3

Baseline

Multinomial Logistic Regression (MLR)

Main Approaches

Gate Recurrent Unit (GRU)
Long Short-Term Memory (LSTM)
Bidirectional Long Short-Term Memory (Bi-LSTM)

Execution Results

Contribution

Chieh-Yu Chuang: 50%, Chun-Pei Chen: 50%