Data Mining and Analysis of NLP Methods in Students Evaluation of Teaching

Student evaluations of teachings (SETs) are essential for determining the quality of the educational process. Natural Language Processing (NLP) techniques may produce informative insights into these surveys. This study aims to provide an overview of the various approaches used in NLP and sentiment analysis, focusing on identifying the top outcomes, models, and text representations used. Furthermore, we investigate NLP methods applied to a Spanish corpus of SETs, which is relatively uncommon, and discuss the application of less well-known tools in this scenario. In general, by showing the top models and text representations, especially in the case of a Spanish corpus, this study contributes to NLP and sentiment analysis. Additionally, it promotes research and interest in other languages that receive little attention. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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