An Application of Hybrid Deep Learning Model in Analyzing Learners' Sentiment from Text Feedback

Sentiment analysis on opinions, views, emotions, or attitudes from written statements, comments, etc. is a research topic of growing interest. This work can benefit service providers, corporations, governments, and individuals in gathering information and making opinion-based decisions. At educational institutions, especially higher education institutions, periodically collecting student feedback about teaching activities is extremely important in adjusting teaching methods. Our research is aimed at determining a hybrid deep learning model applied to the problem of analyzing emotions from text that can be used for the task of analyzing student feedback.