Almuqren, Latifah and Cristea, Alexandra I. (2016) Framework for sentiment analysis of Arabic text. In: ACM Hypertext 2016 Core A , Halifax, Canada, 10-13 Jul 2016. Published in: HT '16: Proceedings of the 27th ACM Conference on Hypertext and Social Media pp. 315-317. ISBN 9781450342476. doi:10.1145/2914586.2914610

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Item Type:	Conference Item (Poster)
Subjects:	P Language and Literature > PJ Semitic Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH):	Data mining -- Online social networks, Arabic language -- Data processing, Computational linguistics -- Models, Telecommunication, Saudi Arabia, Consumer satisfaction, Consumers
Journal or Publication Title:	HT '16: Proceedings of the 27th ACM Conference on Hypertext and Social Media
Publisher:	ACM
ISBN:	9781450342476
Official Date:	July 2016
Dates:	Date Event July 2016 Published 10 April 2016 Accepted
Page Range:	pp. 315-317
DOI:	10.1145/2914586.2914610
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	27 May 2016
Date of first compliant Open Access:	27 May 2016
Conference Paper Type:	Poster
Title of Event:	ACM Hypertext 2016 Core A
Type of Event:	Conference
Location of Event:	Halifax, Canada
Date(s) of Event:	10-13 Jul 2016

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