Text Analytics for Predicting Question Acceptance Rates

doi:10.1109/MITP.2015.67

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Residential College	false
Status	已發表Published
	Text Analytics for Predicting Question Acceptance Rates
	Simon Fong1 ; Suzy Zhou 2; Luiz Moutinho 3
	2015-07-16
Source Publication	IT Professional
ISSN	1520-9202
Volume	17 Issue:4 Pages:34-41
Other Abstract	Online community question answering (CQA) services have gained popularity among users wanting to voluntarily exchange solutions without a fee. This article proposes classification using text analytics to predict how likely a posted question is to be answered.
DOI	10.1109/MITP.2015.67
Indexed By	SCIE
Language	英語English
WOS Research Area	Computer Science ; Telecommunications
WOS Subject	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS ID	WOS:000361906500006
Publisher	IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA
The Source to Article	Engineering Village
Scopus ID	2-s2.0-84937907757
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science
Citation statistics
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Simon Fong
Affiliation	1.University of Macau, Macau SAR, China 2.Mozat, Singapore 3.University of Glasgow, Scotland
First Author Affilication	University of Macau
Corresponding Author Affilication	University of Macau
Recommended Citation GB/T 7714	Simon Fong,Suzy Zhou,Luiz Moutinho. Text Analytics for Predicting Question Acceptance Rates[J]. IT Professional, 2015, 17(4), 34-41.
APA	Simon Fong., Suzy Zhou., & Luiz Moutinho (2015). Text Analytics for Predicting Question Acceptance Rates. IT Professional, 17(4), 34-41.
MLA	Simon Fong,et al."Text Analytics for Predicting Question Acceptance Rates".IT Professional 17.4(2015):34-41.

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Affiliation No.
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh