A multi-task MRC framework for Chinese emotion cause and experiencer extraction
H Qian, Q Li, Z Tang - Artificial Neural Networks and Machine Learning …, 2021 - Springer
Extracting emotion cause and experiencer from text can help people better understand
users' behavior patterns behind expressed emotions. Machine reading comprehension …
users' behavior patterns behind expressed emotions. Machine reading comprehension …
[PDF][PDF] Facial expression recognition using deep convolutional neural network
Human Facial Expression Recognition (FER) is always been a challenging task for
researchers. Face expressions play an important role in non-verbal communication …
researchers. Face expressions play an important role in non-verbal communication …
Text-Based Emotion Recognition: A Review
H Shah, H Shah, M Chopade - International Conference on Computational …, 2022 - Springer
As the world is becoming more modern and digital, the interaction of humans with computers
is a very intriguing and well-known subject of research. Computer interfaces must correctly …
is a very intriguing and well-known subject of research. Computer interfaces must correctly …
Decoding emotions in social media: a linguistic analysis of implicit emotions and events
YPH Lau - 2021 - theses.lib.polyu.edu.hk
This thesis aims to discover meanings expressed in text by focusing on implicit emotion and
to investigate the interaction between implicit emotions and event types. Over the past few …
to investigate the interaction between implicit emotions and event types. Over the past few …
[PDF][PDF] Multi-emotion Recognition and Dialogue Manager for VR-based Self-attachment Therapy
L Simkanin - 2020 - humandevelopment.doc.ic.ac.uk
Despite increase in mental health awareness, there is still a large portion of people not
receiving treatment. There are various side effects associated with drugs and not everyone …
receiving treatment. There are various side effects associated with drugs and not everyone …