IEEE

Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
GitHub

text-classification-algorithms

AI-powered Resume Screener using Scikit-learn, featuring text preprocessing, TF-IDF vectorization, and ML models (Logistic Regression, SVM, Random Forest) to classify and rank resumes for automated ...
IEEE

Toxic Comment Classification using Hybrid BERT-Bi-LSTM Architecture

Abstract: Toxic comment classification presents a significant challenge in the current era, characterized by widespread internet access and the potential for misuse of free speech, frequently ...
GitHub

AbhishekSahgal/Aspect_Based_Sentiment_Analysis

6 Hybrid (BiLSTM + GAT) Hybrid Fusion Attention-fused BiLSTM & GAT 7 Hybrid (GRU + GAT) Hybrid Fusion Attention-fused GRU & GAT (best) 8 Hybrid (AGRU + GAT) Hybrid Fusion Attention-fused AGRU & GAT 9 ...