Lexicon-Based Sentiment Analysis of Teachers’ Evaluation
Joint Authors
Rajput, Quratulain
Haider, Sajjad
Ghani, Sayeed
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-13
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
The end of the course evaluation has become an integral part of education management in almost every academic institution.
The existing automated evaluation method primarily employs the Likert scale based quantitative scores provided by students about the delivery of the course and the knowledge of the instructor.
The feedback is subsequently used to improve the quality of the teaching and often for the annual appraisal process.
In addition to the Likert scale questions, the evaluation form typically contains open-ended questions where students can write general comments/feedback that might not be covered by the fixed questions.
The textual feedback, however, is usually provided to teachers and administration and due to its nonquantitative nature is frequently not processed to gain more insight.
This paper aims to address this aspect by applying several text analytics methods on students’ feedback.
The paper not only presents a sentiment analysis based metric, which is shown to be highly correlated with the aggregated Likert scale scores, but also provides new insight into a teacher’s performance with the help of tag clouds, sentiment score, and other frequency-based filters.
American Psychological Association (APA)
Rajput, Quratulain& Haider, Sajjad& Ghani, Sayeed. 2016. Lexicon-Based Sentiment Analysis of Teachers’ Evaluation. Applied Computational Intelligence and Soft Computing،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1094892
Modern Language Association (MLA)
Rajput, Quratulain…[et al.]. Lexicon-Based Sentiment Analysis of Teachers’ Evaluation. Applied Computational Intelligence and Soft Computing No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1094892
American Medical Association (AMA)
Rajput, Quratulain& Haider, Sajjad& Ghani, Sayeed. Lexicon-Based Sentiment Analysis of Teachers’ Evaluation. Applied Computational Intelligence and Soft Computing. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1094892
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1094892