An experimental comparison of two machine learning approaches for emotion classification
Correctly identifying an emotion has always been challenging for humans, not to mention machines! In this research, we use machine learning to classify human emotion. Emotional differences between genders are well documented in fields like psychology. We hypothesize that genders will impact the accu...
Saved in:
Main Authors: | ZHAO, Wangchuchu, SIAU, Keng |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2017
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/9438 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Directed Forgetting of Happy and Angry Faces: The Effects of Facial Emotion and Sex on Recognition Memory for Facial Identity
by: TAY, Kay Chai
Published: (2014) -
Angry faces are more resistant to forgetting than are happy faces: Directed forgetting effects on the identity of emotional faces
by: TAY, Peter Kay Chai, et al.
Published: (2017) -
A hybrid approach of NN and HMM for facial emotion classification
by: Hu, T., et al.
Published: (2014) -
DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD
by: NEO YUAN RONG DEXTER
Published: (2021) -
Emotion recognition in spontaneous Filipino speech using machine learning classification
by: Ong, Arlyn Verina L.
Published: (2012)