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Sentiment Analysis Techniques for Peer Feedback: A Review

Abstract:

Peer feedback in higher education is a strategy in the teaching-learning process. The application of sentiment analysis favors the exploration of significant information for educational management. The purpose of this article was to identify trends, areas of knowledge, and aspects that have been studied in peer feedback and sentiment analysis of educational texts. This research developed a systematic literature review of scientific documents. The classification was performed by applying the Zott approach. The results reveal the increase in research in recent years on the evaluation of unstructured educational texts such as feedback using computational techniques, such as text mining, natural language processing, sentiment analysis using machine learning or deep learning, or with a lexical or hybrid approach to improve teaching and the educational environment. However, few studies on peer feedback apply sentiment analysis to improve student learning processes.