Constructing twitter corpus of Iraqi Arabic Dialect (CIAD) for sentiment analysis
https://doi.org/10.17586/2226-1494-2022-22-2-308-316
Abstract
The number of Twitter users in Iraq has increased significantly in recent years. Major events, the political situation in the country, had a significant impact on the content of Twitter and affected the tweets of Iraqi users. Creating an Iraqi Arabic Dialect corpus is crucial for sentiment analysis to study such behaviors. Since no such corpus existed, this paper introduces the Corpus of Iraqi Arabic Dialect (CIAD). The corpus has been collected, annotated and made publicly accessible to other researchers for further investigation. Furthermore, the created corpus has been validated using eight different combinations of four feature-selections approaches and two versions of Support Vector Machine (SVM) algorithm. Various performance measures were calculated. The obtained accuracy, 78 %, indicates a promising potential application.
About the Authors
M. M. Hassoun Al-Jawad
University of Kerbala, College of Computer Science and Information Technology
Iraq
Iraq
Mohammed M. Hassoun Al-Jawad — PhD, Academic Staff, Lecturer
Karbala, 51001
sc 57216978290
H. Alharbi
University of Babylon, IT College
Iraq
Iraq
Hasaneun Alharbi — Academic Staff, Lecturer
Babylon, 51002
A. Almukhtar
University of Kerbala, College of Computer Science and Information Technology
Iraq
Iraq
Ahmed Almukhtar — PhD, Academic Staff, Lecturer
Karbala, 51001
A. A. Alnawas
Southern Technical University, Nasiriyah Technical Institute
Iraq
Iraq
Anwar A. Alnawas — PhD, Head of Department
Nasiriyah
sc 57205432645
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Review
For citations:
Hassoun Al-Jawad M., Alharbi H., Almukhtar A., Alnawas A. Constructing twitter corpus of Iraqi Arabic Dialect (CIAD) for sentiment analysis. Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 2022;22(2):308-316. https://doi.org/10.17586/2226-1494-2022-22-2-308-316
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