Supplementary Materials for: Emotion-Aware Intelligent E-Learning Recommendation Systems Using Deep Learning and Sentiment Analysis

This repository contains the complete supplementary materials required to reproduce the experiments reported in the article “Emotion-Aware Intelligent E-Learning Recommendation Systems Using Deep Learning and Sentiment Analysis”.The materials include anonymized derived feature representations, an anonymized dataset sample, annotation guidelines, training and evaluation scripts, figure and table generation scripts, and fully specified execution environments (Conda and Docker). Due to platform terms of service and privacy considerations, raw learner text is not redistributed. Instead, transformer-based derived features and anonymized labels are provided to ensure ethical compliance while enabling full experimental reproducibility. The repository supports reproduction of sentiment classification, emotion classification, recommendation evaluation, and all reported figures and tables. These materials are intended for academic and non-commercial research use in the areas of sentiment analysis, affective computing, and intelligent e-learning systems. All supplementary materials are provided as a single compressed archive for ease of access and reproducibility.