2009 13th International Conference on Computer Supported Cooperative Work in Design 2009
DOI: 10.1109/cscwd.2009.4968116
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Can e-Learner's emotion be recognized from interactive Chinese texts?

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Cited by 13 publications
(4 citation statements)
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“…The final section covers the conclusion and plans for future works. Tian et al (2009) developed an e-learner's affective category model that applies a questionnaire. They first extract an emotion feature from the corpus on the Internet.…”
Section: Introductionmentioning
confidence: 99%
“…The final section covers the conclusion and plans for future works. Tian et al (2009) developed an e-learner's affective category model that applies a questionnaire. They first extract an emotion feature from the corpus on the Internet.…”
Section: Introductionmentioning
confidence: 99%
“…Modern AI-powered tools excel at discovering polarity, classifying, and predicting emotions within unlabeled sets of comments (23). Numerous studies have explored sentiment analysis (SA) in education, with a substantial focus on e-learning, classroom learning, and daily sessions and real-time interventions (23,24).…”
Section: Related Workmentioning
confidence: 99%
“…In general, feedback on motivation and self-esteem, related to the student's emotional state, is also encouraged in the e-learning, even when it concerns negative content such as, for example, bad students' performances (Hattie & Timperley, 2007). Tian, et al (2009) discuss an approach to identify e-learner emotion, creating patterns to find which words are associated more with emotions, abstracting, from corpus, Chinese metaphors employing sentence meaning and structure. Furthermore, the authors exploited a case based reasoning recommendation strategy to improve emotion communication between two interacting sides.…”
Section: Emotion and Sentiment Analysis: A Fruitful Interactionmentioning
confidence: 99%