Analyzing Educational Comments for Topics and Sentiments: A Text Analytics Approach

Analyzing Educational Comments for Topics and Sentiments: A Text Analytics Approach

Universities collect qualitative and quantitative feedback from students upon course completion in order to improve course quality and students’ learning experience. Combining program-wide and module-specific questions, universities collect feedback from students on three main aspects of a course na...

Full description

Saved in:
Bibliographic Details
Main Authors: NITIN, Gokran Ila, GOTTIPATI, Swapna, SHANKARARAMAN, Venky
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Student feedback
education data mining
topics
sentiments
text analytics
clustering
Computer Sciences
Higher Education
Online Access:https://ink.library.smu.edu.sg/sis_research/2888
https://ink.library.smu.edu.sg/context/sis_research/article/3888/viewcontent/Analyzing_Edn_Comments_Sentiments_FIE_2015.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/2888
https://ink.library.smu.edu.sg/context/sis_research/article/3888/viewcontent/Analyzing_Edn_Comments_Sentiments_FIE_2015.pdf

Similar Items