A survey on emotion recognition for human robot interaction

SN Mohammed, AKA Hassan - Journal of computing and information …, 2020 - hrcak.srce.hr
Sažetak With the recent developments of technology and the advances in artificial intelligent
and machine learning techniques, it becomes possible for the robot to acquire and show the …

Transfer learning techniques for emotion classification on visual features of images in the deep learning network

D Tamil Priya, J Divya Udayan - International Journal of Speech …, 2020 - Springer
Emotion is subjective which convey rich semantics based on an image that induces different
emotion based on each individual. A novel method is proposed for emotion classification by …

[PDF][PDF] The Combination of Ontology-Driven Conceptual Modeling and Ontology Matching for Building Domain Ontologies: E-Government Case Study

S Haridy, RM Ismail, N Badr… - Int. J. Comput. Their …, 2022 - researchgate.net
During the last decade, ontology engineering has undoubtedly participated in a lot of
beneficial applications in different domains. Nevertheless, ontology development still faces …

TONE: A 3-Tiered ONtology for Emotion analysis

S Gupta, PK Garg, SK Dandapat - arXiv preprint arXiv:2401.06810, 2024 - arxiv.org
Emotions have played an important part in many sectors, including psychology, medicine,
mental health, computer science, and so on, and categorizing them has proven extremely …

[PDF][PDF] Enhancement of text based emotion recognition performances using word clusters

SR Adarsh - Int. J. Res. GRANTHAALAYAH, 2019 - pdfs.semanticscholar.org
Abstract Human Computer Interaction (HCI) researches the use of computer technology
mainly focused on the interfaces between human users and computers. Expression of …

A map of the Urals emotional perception (based on modern regional poetry)

T Semyan, EA Smyshlyaev, OI Babina… - … Scholarship in the …, 2022 - academic.oup.com
The study of emotional categories in the literary texts of contemporary regional authors and
creating a map of the Urals emotional perception based on the data obtained with the Digital …

Time Series Visualization of Customer Emotions Using Artificial Neural Network

Y Chuttur, N Rawoteea - Progress in Advanced Computing and Intelligent …, 2021 - Springer
Online customer reviews have been recognized as having a high influence on both
customers and business managers' decisions. While current approach to display general …

Interdisciplinary approach to emotion detection from text

I Jeđud - XA Proceedings, 2018 - hrcak.srce.hr
Sažetak Emotions not only influence most aspects of cognition and behavior, but also play a
prominent role in interaction and communication between people. With current …

[PDF][PDF] Convolutional Neural Network Multi-Emotion Classifiers

SS Ibrahiem, SS Ismail… - Jordanian Journal of …, 2019 - pdfs.semanticscholar.org
Natural languages are universal and flexible, but cannot exist without ambiguity. Having
more than one attitude and meaning in the same phrase context is the main cause for word …

[PDF][PDF] Automatic Detection and Classification of Cognitive Distortions in Journaling Text.

M Mostafa, A El Bolock, S Abdennadher - WEBIST, 2021 - scitepress.org
Cognitive distortions are negative thinking patterns that people adopt. Left undetected, it
could lead to developing mental health problems. The goal of cognitive behavioral therapy …