Emotional classification (valence) in textual data has proved to be central to human experience analysis and natural language processing (NLP). This study implements a text mining model and algorithm - TM-EV (Text Mining for Emotional Valence Analysis) - that determines the impact of emotional valence (EV) shown by undergraduate students in their feedback (n=665860) during the program (pre- and post-course to determine its relationship with the learning outcome and performance.