NDLI: Ascertaining the significance of reviews: In view of temporal pattern and assigning weights to reviews

Content Provider	IEEE Xplore Digital Library
Author	Kohilakanagalakshmi, T. Trueman, T.E. Mirnalinee, T.T.
Copyright Year	2012
Description	Author affiliation: Dept of Computer Science & Engg, SSN College of Engineering, Chennai, India (Mirnalinee, T.T.) \|\| Dept of Computer Science & Engg, Anna University of Technology, Chennai, India (Trueman, T.E.) \|\| Dept of Computer Science & Engg, Anna University of Technology Chennai, Chennai, India (Kohilakanagalakshmi, T.)
Abstract	Online user reviews have become an important source of information to consumers about the quality of various products. With the high volume of reviews that are typically published for a single product makes harder for individuals to locate the best reviews and understand the true underlying quality of a product. In this paper, we re-examine the impact of reviews on economic outcomes like product sales and see how different factors like subjectivity, readability, spelling errors, temporal pattern of online reviews, textual characteristics of online reviews in different time periods affect social outcomes like the extent of their perceived usefulness. Our elementary econometric analysis using two stage regression reveals that the extent of subjectivity, in formativeness, readability, and linguistic correctness in reviews matters in influencing sales and perceived usefulness. By using component weight assignment algorithm along with SVM classifier we can accurately predict the impact of reviews on sales and their perceived usefulness.
Starting Page	1
Ending Page	5
File Size	114355
Page Count	5
File Format	PDF
ISBN	9781467302708
e-ISBN	9781467302739
DOI	10.1109/ICCCA.2012.6179172
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-02-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text mining Weight assignment algorithm Elementary econometric analysi Support vector machine classification Predictive models Prediction algorithms Educational institutions Marketing and sales Econometrics Data mining
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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