Literature review of emotion recognition algorithms. حسب Zhang Shanshan (22272359)

WEA dataset emotion category table. حسب Nan Xu (107466)

ResNet50 algorithm. حسب Zhang Shanshan (22272359)

Sample product reviews and their emotional tendencies. حسب Jinghua Wu (436901)

Parameter configuration for ChildEmoNet algorithm implementation. حسب Zhang Shanshan (22272359)

Performance comparison of ChildEmoNet algorithm with recent state-of-the-art methods. حسب Zhang Shanshan (22272359)

Classification performances of Ensemble (Subspace KNN), SVM, and KNN algorithms when trained with time domain HbO features. حسب Ayşenur Eser (21713911)

Complete workflow of the ChildEmoNet algorithm showing the cascaded DETR-ResNet50 architecture with frame-level and child-level processing loops. حسب Zhang Shanshan (22272359)

Emotion prediction probabilities. حسب Zhang Shanshan (22272359)

Classification performances of Ensemble, SVM, and kNN algorithms. For each performance metric, the mean value across all runs and standard deviation of the mean value is reported i... حسب Ayşenur Eser (21713911)

Structure and optimization process of the CRF module. حسب Jiangting Yan (20818388)

Hyperparameters for each classification model. حسب Rodrigo Gutiérrez Benítez (19746443)

"…This study aims to investigate whether DA techniques can improve classification results using ML and DL algorithms for sentiment and emotion analysis of Spanish texts. …"

Personalised Affective Classification Through Enhanced EEG Signal Analysis حسب Joseph Barrowclough (20574195)

"…However, many existing studies have adopted a one-size-fits-all approach, where data from multiple individuals are combined to create a single “generic” classification model. This overlooks individual differences and may not accurately capture the unique emotional patterns of each person.…"

<b>Real-Time Classroom Emotion Analysis Using Machine and Deep Learning for Enhanced Student Learning</b> حسب Prem Kumar Sholapurapu (21638282)

<b>R</b><b>esidual</b> <b>GCB-Net</b>: Residual Graph Convolutional Broad Network on Emotion Recognition حسب Qilin Li (535447)

"…<p dir="ltr">Electroencephalogram (EEG) data are commonly applied in the emotion recognition research area. It can accurately reflect the emotional changes of the human body by applying graphical-based algorithms or models. …"

Ablation Study results on SDTI dataset. حسب Shiyong Li (762533)

"…Finally, the fused features are fed into a fully connected network (FCN) for sentiment classification, ultimately determining the user’s emotional state. …"

The overall architecture of ResNet50. حسب Shiyong Li (762533)

"…Finally, the fused features are fed into a fully connected network (FCN) for sentiment classification, ultimately determining the user’s emotional state. …"

PLOS One data. حسب Ayşenur Eser (21713911)

"…Three class classification performances of all algorithms were above 90% in terms of accuracy, sensitivity, specificity, F-1 score and precision metrics while two class accuracy performances of all algorithms were above 93% in terms of each performance metric. …"

Overview of the Data Analysis Pipeline. حسب Ayşenur Eser (21713911)

<b>Table </b><b>1</b><b>: Types of Sentiment</b><b> Classification</b><b>Table </b><b>2</b><b>: Types of Sentiment</b><b> </b><b>Analysis Techniques/Algorithms</b><b>Table 3: Liter... حسب Ritu SHARMA (15463307)