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Arabic SentiWordNet in Relation to SentiWordNet 3.0
Samah Alhazmi, William Black, John McNaught
Pages - 1 - 11 | Revised - 05-04-2013 | Published - 30-04-2013
MORE INFORMATION
KEYWORDS
Opinion Mining, Sentiment Analysis, WordNet, SentiWordNet, Arabic.
ABSTRACT
Sentiment analysis and opinion mining are the tasks of identifying positive or negative opinions
and emotions from pieces of text. The SentiWordNet (SWN) plays an important role in extracting
opinions from texts. It is a publicly available sentiment measuring tool used in sentiment
classification and opinion mining. We firstly discuss the development of the English SWN for
versions 1.0 and 3.0. This is to provide the basis for developing an equivalent SWN for the Arabic
language through a mapping to the latest version of the English SWN 3.0. We also discuss the
construction of an annotated sentiment corpus for Arabic and its relationship to the Arabic SWN.
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Mr. Samah Alhazmi
Text Mining Research Group
School of Computer Science
University of Manchester
Manchester, UK, M13 9PL - United Kingdom
smm484@hotmail.com
Mr. William Black
School of Computer Science
& National Centre for Text Mining
Manchester Institute of Biotechnology
University of Manchester
Manchester, UK, M1 7DN - United Kingdom
Mr. John McNaught
School of Computer Science
& National Centre for Text Mining
Manchester Institute of Biotechnology
University of Manchester
Manchester, UK, M1 7DN - United Kingdom
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