• Lokesh Kumar Singh
• Ananya Verma
• Nidhi Raj
• Satyam Jaiswal
• Arindam Ghosh

E-learning is making a firm progress towards personalized learning to shift the paradigm of teaching learning process entirely from conventional classroom teaching to online learning platforms. This shift is based on the idea of recognizing student emotion accurately in e-learning platforms to customize the learning process according student’s preferences. E-learners sentiment is expressed in three modes audio, image, and text. We have conducted a survey in this paper for analyzing different architectures of recognizing emotions from textual contents. Our objective is to motivate more research work for creating frameworks of personalized learning-based platforms primarily to improve learning drive of a e-learner.

E-learning, sentiment analysis, emotion recognition, personalized learning

"Emotion Recognition of E-Learners from Text : A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.a130-a139, April-2024, Available :http://www.jetir.org/papers/JETIR2404019.pdf

"Emotion Recognition of E-Learners from Text : A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppa130-a139, April-2024, Available at : http://www.jetir.org/papers/JETIR2404019.pdf