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Framework for sentiment analysis of Arabic text

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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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Official URL: https://doi.org/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:
DateEvent
July 2016Published
10 April 2016Accepted
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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