Automatic Feedback Generation In NLP: A Systematic Review
Mohammad Hashir, Avinash Sharma, Shah Faisal, Gourav Rawat · 2024
Automatic Feedback Generation using Natural Language Processing (NLP) is an evolving field that has witnessed significant advancements in recent years. This review paper provides a comprehensive overview of the state-of-the-art techniques and applications in the domain of automatic feedback generation, using NLP technologies. Furthermore, This review examines the advancements in automatic feedback generation using NLP. The focus is on state-of-the-art methods, key applications, and the challenges faced. Current NLP techniques such as tokenization, sentiment analysis, and pre-trained models are analyzed for their roles in automatic feedback systems. The potential of NLP systems to significantly enhance communication and learning, along with areas for future research, are discussed.