“A sentiment analysis model to analyze students reviews of teacher performance using support vector machines,”
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Machine learning and deep learning algorithms can help with teacher evaluation by performing sentiment analysis of student comments on teacher performance.
“Machine learning and deep learning algorithms can help with teacher evaluation by performing sentiment analysis of student comments on teacher performance (Esparza et al., 2017; Gutiérrez et al., 2018; Onan, 2020), which provides a snapshot of student attitudes toward teachers and their overall learning experiences.”
From Proactive and reactive engagement of artificial intelligence methods for education: a review (2023) · cites this paper as Esparza et al., 2017
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Self-citationIDENTIFYING E-LEARNER'S OPINION USING AUTOMATED SENTIMENT ANALYSIS IN E-LEARNING
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IDENTIFYING E-LEARNER’S OPINION USING AUTOMATED SENTIMENT ANALYSIS IN E-LEARNING
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Proactive and reactive engagement of artificial intelligence methods for education: a review
Mallik, S., & Gangopadhyay, A. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1151391 · Cited by 139 · see citing works
- Authors
- Esparza, G. G., de-Luna, A., Zezzatti, A. O., Hernandez, A., Ponce, J., Álvarez, M., Cossio, E., & de Jesus Nava, J.
- Affiliations
- Universidad Politécnica de Aguascalientes (MX)
- Universidad Autónoma de Ciudad Juárez (MX)
- Autonomous University of Aguascalientes (MX)
- Corresponding author
- Esparza, Guadalupe Gutiérrez
- Venue
- Advances in intelligent systems and computing
- Publisher
- Springer International Publishing
- Published
- 2017-06-21
- Pages
- 157-164
- ISSN
- 2194-5357 (ISSN-L)
- 2194-5365
- OpenAlex
- W2708548069
- Cited by
- 65
- References
- 17
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 10 · 2023: 11 · 2022: 5 · 2021: 5 · 2020: 15 · 2019: 10 · 2018: 3 · 2017: 1
- FWCI
- 3.62
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Advances in intelligent systems and computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Technology and Pedagogy
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- sentiment analysis, student reviews, teacher evaluation, higher education, support vector machine, kernel comparison
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