A System for Sentiment Analysis of Colloquial Arabic Using Human Computation
Joint Authors
Al-Khalifa, Hend
Al-Subaihin, Afnan S.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-29
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We present the implementation and evaluation of a sentiment analysis system that is conducted over Arabic text with evaluative content.
Our system is broken into two different components.
The first component is a game that enables users to annotate large corpuses of text in a fun manner.
The game produces necessary linguistic resources that will be used by the second component which is the sentimental analyzer.
Two different algorithms have been designed to employ these linguistic resources to analyze text and classify it according to its sentimental polarity.
The first approach is using sentimental tag patterns, which reached a precision level of 56.14%.
The second approach is the sentimental majority approach which relies on calculating the number of negative and positive phrases in the sentence and classifying the sentence according to the dominant polarity.
The results after evaluating the system for the first sentimental majority approach yielded the highest accuracy level reached by our system which is 60.5% while the second variation scored an accuracy of 60.32%.
American Psychological Association (APA)
Al-Subaihin, Afnan S.& Al-Khalifa, Hend. 2014. A System for Sentiment Analysis of Colloquial Arabic Using Human Computation. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050425
Modern Language Association (MLA)
Al-Subaihin, Afnan S.& Al-Khalifa, Hend. A System for Sentiment Analysis of Colloquial Arabic Using Human Computation. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1050425
American Medical Association (AMA)
Al-Subaihin, Afnan S.& Al-Khalifa, Hend. A System for Sentiment Analysis of Colloquial Arabic Using Human Computation. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050425
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050425