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Analysis of Student Feedback using Deep Learning
2019
International Journal of Computer Applications Technology and Research
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Text Sentiment analysis method are used to carry out such analysis. It can be performed in two ways -Machine Learning approach and Lexicon based approach. ...
Presently, the teacher evaluation and feedback analysis are based on identifying student's opinion. Methods used for such classification are Naive Bayes, Voting ensemble method. ...
The system is based on attribute and uses multipoint rating system. System uses text mining for deriving high quality information. ...
doi:10.7753/ijcatr0805.1004
fatcat:2qcwtnamjzgrhaaglrwzswtcxy
A Novel Framework Using Machine Learning to Effectively Analyze the Faculty Evaluations
2018
Journal of Education & Social Sciences
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Along with the quantitative evaluation of faculty, students also provide feedback in the form of comments. The proposed solution performs sentiment analysis on those comments. ...
It uses k-means clustering to group the evaluations and points out the specific area on which management needs to work on with faculty. ...
The students will use the online learning management system to provide their feedback about the faculty. ...
doi:10.20547/jess0621806204
fatcat:hu5jaaqlmnbz3cc2cunpwe5n2e
Bilingual Feedback Management System for Frontline Services with Sentiment Analysis using Naïve-Bayes Algorithm
2019
Zenodo
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The study employed Sentiment Analysis using Naïve-Bayes Algorithm which was used in determining the polarity of the customers' feedbacks or suggestions. ...
Likewise, the system provides performance reports of each office to determine which among the offices are performing well based on feedbacks. ...
The researcher came up with the idea of creating a web-based feedback management system with the use of sentiment analysis to aid the existing setup of the feedback management system of the university. ...
doi:10.5281/zenodo.5209575
fatcat:7e4lt3ia6vbytnwlyjorr4y74e
A conceptual framework for analyzing students' feedback
2017
2017 IEEE Frontiers in Education Conference (FIE)
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In this paper, we propose a conceptual framework for student feedback analysis that provides the necessary structure for implementing a prototype tool for mining student comments. ...
One of the important goals of this exercise is to enable the instructor and the senior management to examine the feedback and then enhance students' learning experience. ...
In this way, the faculty can re-adjust the pedagogy and improve the student leaning outcomes. However, topic-based sentiment analysis and suggestion analysis is not widely studied yet. ...
doi:10.1109/fie.2017.8190703
dblp:conf/fie/GottipatiSG17
fatcat:osxlnour5fhyfdqgcwmmf5q22y
SUFAT - An Analytics Tool for Gaining Insights from Student Feedback Comments
2018
2018 IEEE Frontiers in Education Conference (FIE)
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We intend to release the tool for public use so that instructors can download and install the tool on their computer system. ...
In order to efficiently gather, analyse and provide deeper insights from student feedback by topics, we developed a user-friendly application, StUdent Feedback Analysis Tool (SUFAT). ...
Early works of sentiment analysis of student feedback using data mining approach include Altrabsheh et al. who devised a system to analyze sentiments in real time to provide real-time intervention in the ...
doi:10.1109/fie.2018.8658457
dblp:conf/fie/PyasiGS18
fatcat:pvo56ptzazd53hq3pigspbz7bu
Opinion Sentiment Analysis
2016
International Journal of Advances in Applied Sciences
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Our system, Faculty Evaluation System (FES) identifies strengths and weaknesses of teachers on all aspects which are important to students. ...
The proposed system is flexible and versatile than the existing feedback evaluation system of teachers where students evaluate the teachers on the predefined aspects decided by experienced and senior teachers ...
Jain [7] , proposed a system architecture to perform sentiment based analysis of teachers' feedback given by the students in textual form. ...
doi:10.11591/ijaas.v5.i3.pp128-136
fatcat:7z6ozqu2tjh7vn7hkalrretaoa
Analyzing educational comments for topics and sentiments: A text analytics approach
2015
2015 IEEE Frontiers in Education Conference (FIE)
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In this paper, we develop student feedback mining system (SFMS) which applies text analytics and opinion mining approach to provide instructors a quantified and exhaustive analysis of the qualitative feedback ...
Current methods for analyzing the student course evaluations are manual and majorly focus on quantitative feedback and fall short of an in-depth exploration of qualitative feedback. ...
Lexicon methods are based on sentiment words and phrases which are instrumental to sentiment analysis for obvious reasons [8] . ...
doi:10.1109/fie.2015.7344296
dblp:conf/fie/NitinGS15
fatcat:kammtxqyqzb4fct6rcb3m4bilu
Student Feedback Mining System Using Sentiment Analysis
2017
International Journal of Computer Applications Technology and Research
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In this paper, we develop a student feedback mining system (SFMS) which applies text analytics and sentiment analysis approach to provide instructors a quantified and deeper analysis of the qualitative ...
Academic industries used to collect feedback from the students on the main aspects of course such as preparations, contents, delivery methods, punctual, skills, appreciation, and learning experience. ...
Alok Kumar; Renu Jain Feedback [1], proposed an automatic evaluation system based on sentiment analysis. ...
doi:10.7753/ijcatr0601.1009
fatcat:kuq3klrl7zg4dpwnh3gvw56vlm
Sentiment Research on Student Feedback to Improve Experiences in Blended Learning Environments
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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This paper discusses how sentiment analysis can be performed on the feedback collected in a learning management system with the intention of advancing the teaching learning process. ...
For rendering a valuable blended learning environment, it is essential to gather users' opinion or feedback on this learning methodology. ...
The proposed work discusses the advantages of using Sentiment Analysis on student's feedback. This method categorizes the feedback as positive, neutral or negative. ...
doi:10.35940/ijitee.k1034.09811s19
fatcat:qnmiv5bmefgfxiaerrqsovdmr4
Weighted Summarization of Student Feedback using Sentiment Analysis
2014
International Journal of Computer Applications
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Every year massive amount of feedback is gathered from students regarding subjects and its respective faculty. The amount of time to analyze this data manually is a very tedious and time consuming. ...
Automatic summarization based on word frequency statistics takes comments and weights them to produce word frequency and then sentence frequency. ...
PROBLEM DEFINITION The problem statement is stated as follows: At the end of every semester, thousands of students of the Institute contribute to "On-line Student feedback" by rating and commenting on ...
doi:10.5120/16984-7087
fatcat:w4eak6tikvdabpakhktje4byqq
Exploring Students' Feedback in Online Assessment System Using Opinion Mining Technique
2020
International Journal of Information and Education Technology
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The Vader Sentiment Intensity Analyser was adapted for processing students' feedback and the lexicon based approach was used for analysing the words. ...
The use of this technique for analysing data from students' feedback needs to be addressed, since most educational institutions are focusing more on questionnaires based on the Likert-scale rather than ...
Based on these reasons, this study has developed a new system to analyse students' feedback, known hereafter as the OMFeedback system. ...
doi:10.18178/ijiet.2020.10.9.1440
fatcat:glagigofujem7eb4pvs7ex4mqq
Adoption of Opinion Mining in the Faculty Performance Evaluation System by the Students Using Naïve Bayes Algorithm
2016
Journal of clean energy technologies
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The paper promotes adoption of Opinion Mining in the faculty performance evaluation system by the students using Naï ve Bayes algorithm. ...
Based on the result of the survey, the respondents highly recommend the proposed system. ...
The system focuses on analyzing the narrative responses of the students in addition to the numerical rating of the faculty. ...
doi:10.7763/ijcte.2016.v8.1054
fatcat:z5juedezavfrhk3wtl56kom2my
Lexicon-Based Sentiment Analysis of Teachers' Evaluation
2016
Applied Computational Intelligence and Soft Computing
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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 ...
Acknowledgments The authors are grateful to the members of the Artificial Intelligence Lab for sharing their faculty evaluations that made this work possible. ...
doi:10.1155/2016/2385429
fatcat:jim6rp4xi5ejxbl6yir45x3x7m
Text analytics approach to extract course improvement suggestions from students' feedback
2018
Research and Practice in Technology Enhanced Learning
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Based on our experiments, the decision tree (C5.0) works the best for extracting the suggestions from students' qualitative feedback. ...
We evaluated our solution using student feedback comments from seven undergraduate core courses taught at the School of Information Systems, Singapore Management University. ...
Availability of data and materials The data is confidential as this is the teaching evaluations of all faculty. Therefore, the data will not be shared. ...
doi:10.1186/s41039-018-0073-0
pmid:30595737
pmcid:PMC6294207
fatcat:nq7fpfghybej3pohoxazqsmpdi
Emotion Detection and Opinion Mining from Student Comments for Teaching Innovation Assessment
2021
International journal of education
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In this work we focus on mining the qualitative student feedbacks and analyzing the student sentiments. ...
The qualitative feedbacks provide freedom for the students to express their honest thoughts on a course. ...
[17] use a hybrid approach for performing sentimental analysis on student feedbacks. ...
doi:10.5121/ije2021.9203
fatcat:3drh3hv2irgcrk4ac4lgo36bjm
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