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A review on corpus annotation for arabic sentiment analysis
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Almuqren, Latifah , Alzammam, Arwa , Alotaibi, Shahad , Cristea, Alexandra I. and Alhumoud, Sarah (2017) A review on corpus annotation for arabic sentiment analysis. In: Meiselwitz , G., (ed.) Social Computing and Social Media : Applications and Analytics. SCSM 2017. Lecture Notes in Computer Science, 10283 . Cham: Springer, pp. 215-225. ISBN 9783319585611
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Official URL: https://doi.org/10.1007/978-3-319-58562-8
Abstract
Mining publicly available data for meaning and value is an important
research direction within social media analysis. To automatically analyze
collected textual data, a manual effort is needed for a successful machine learning algorithm to effectively classify text. This pertains to annotating the text adding labels to each data entry. Arabic is one of the languages that are growing rapidly in the research of sentiment analysis, despite limited resources and scares annotated corpora. In this paper, we review the annotation process carried out by those papers. A total of 27 papers were reviewed between the
years of 2010 and 2016.
Item Type: | Book Item | ||||||
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Subjects: | P Language and Literature > P Philology. Linguistics P Language and Literature > PJ Semitic Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Natural language processing (Computer science), Computational linguistics, Arabic language, Data mining, Arabic language -- Data processing | ||||||
Series Name: | Lecture Notes in Computer Science | ||||||
Publisher: | Springer | ||||||
Place of Publication: | Cham | ||||||
ISBN: | 9783319585611 | ||||||
ISSN: | 0302-9743 | ||||||
Book Title: | Social Computing and Social Media : Applications and Analytics. SCSM 2017 | ||||||
Editor: | Meiselwitz , G. | ||||||
Official Date: | 13 May 2017 | ||||||
Dates: |
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Volume: | 10283 | ||||||
Page Range: | pp. 215-225 | ||||||
DOI: | 10.1007/978-3-319-58562-8 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Description: | 9th International Conference, SCSM 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part II |
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Date of first compliant deposit: | 8 March 2017 | ||||||
Date of first compliant Open Access: | 4 August 2017 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | HCI International 2017 | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Vancouver, Canada | ||||||
Date(s) of Event: | 9-14 Jul 2017 | ||||||
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