NDLI: Improving e-learning with sentiment analysis of users' opinions

Content Provider	IEEE Xplore Digital Library
Author	Kechaou, Z. Ben Ammar, M. Alimi, A.M.
Copyright Year	2011
Description	Author affiliation: R EGIM: REsearch Group on Intelligent Machines, University of Sfax, National Engineering, School of Sfax (ENIS), BP 1173, 3038, Tunisia (Kechaou, Z.; Ben Ammar, M.; Alimi, A.M.)
Abstract	E-learning has witnessed a great interest from the part of corporations, educational institutions and individuals alike. As an education pattern, e-learning systems have become more and more popular. It commonly refers to teaching efforts propagated through the use of computers in a bid to impart knowledge in a non traditional classroom environment. As a prerequisite for an effective development of e-learning systems, it is important to have certain knowledge about users' opinions and build an evaluation regarding them. Hence, an opinion mining method has been applied in this paper for the sake of helping the developers to improve and promote the quality of relevant services. Actually, three feature selection methods MI (Mutual Information), IG (Information Gain), and CHI statistics (CHI) have been investigated and advanced along with our proper HMM and SVM-based hybrid learning method. In fact, the experimental results have indicated that opinion mining becomes more difficult and challenging when performed for e-learning blogs. Moreover, we attempt to demonstrate that IG performs the best potential for sentimental terms selection and exhibits the best performance for sentiment classification.
Starting Page	1032
Ending Page	1038
File Size	145452
Page Count	7
File Format	PDF
ISBN	9781612846422
e-ISBN	9781612846439
DOI	10.1109/EDUCON.2011.5773275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-04
Publisher Place	Jordan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training E-learning Sentiment analysis Electronic learning Machine learning algorithms Feature selection Blogs Hidden Markov models Engineering education
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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