Emotion Recognition for Education using Sentiment Analysis

Abstract

Most systems that recognize emotions that are used in learning systems are oriented towards the detection of basic emotions such as happy, sad or angry. However, an intelligent tutor system must be able to detect, in a student, secondary emotions that have to do with learning as boring or frustrated. In the case of sentiment analysis in text, most of the research focuses on recognizing polarities (positive and negative). In this paper we present a sentiment analyzer for the recognition of polarities and emotions centered on learning using textual phrases written in Spanish in the field of computer science that can be used in an ITS (or any learning environment) to detect sentiments and/or emotions of the students. We also present the results obtained from the sentiment analyzer, which are very promising with 88.26% of accuracy.

Awareness and Readiness of Malaysian University Students for Emotion Recognition System

“…Intelligent tutoring system (ITS) provides computerized self-paced and personalized learning module. Several studies have shown that ITS can benefits from ERS [34], [35]. Facial expression and self-assessment manikin are applied in [34].…”

“…Facial expression and self-assessment manikin are applied in [34]. On the other hand, the learners' state of emotion is identified via text data mining in [35]. The textual comments of leaners on the lesson and activities conducted are analyzed and the emotions are classified.…”

Emotional Variance Analysis: A new sentiment analysis feature set for Artificial Intelligence and Machine Learning applications

“…Secondly, sentiment scores tend to be calculated from grouped or set averages, which lead towards gross over-averaging effects and concomitant loss of information [ 2 , 5 ]. In this study, we address the above drawbacks by expanding calculations of sentiment polarity [ 11 , 24 , 25 ], orientation of the expressed sentiment (positive, negative or neutral) and sentiment polarity shifts–which can help capture significant emotional changes [ 26 ]. Our proposed feature set, Emotional Variance Analysis (EVA), captures and profiles changes in sentiment polarity and intensity to accurately classify emotional instability [ 10 , 15 , 20 ].…”

Sentiment analysis and emotion detection of post-COVID educational Tweets: Jordan case

“…Barron-Estrada et al. ( 2019 ) as the circumstances necessitated, these adjustments were implemented fast. Almost immediately, numerous educational institutions have begun to provide instructions and lectures through distance learning technologies (Zhao and Watterston 2021 ; Neuwirth et al.…”

“…As a result, educators and educational institutions worldwide made a concerted effort to adapt and innovate. Barron-Estrada et al (2019) as the circumstances necessitated, these adjustments were implemented fast. Almost immediately, numerous educational institutions have begun to provide instructions and lectures through distance learning technologies (Zhao and Watterston 2021;Neuwirth et al 2021) changes in teaching delivery elicited a swift and enthusiastic response from educators.…”