An enhanced corpus for Arabic newspapers comments
Joint Authors
Rehab, Hisham
Zaytuni, Abd al-Hafiz
Djoudi, Mahieddine
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 5 (30 Sep. 2020), pp.789-798, 10 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-09-30
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Abstract EN
In this paper, we propose our enhanced approach to create a dedicated corpus for Algerian Arabic newspapers comments.
The developed approach has to enhance an existing approach by the enrichment of the available corpus and the inclusion of the annotation step by following the Model Annotate Train Test Evaluate Revise (MATTER) approach.
A corpus is created by collecting comments from web sites of three well know Algerian newspapers.
Three classifiers, support vector machines, naïve Bayes, and k-nearest neighbors, were used for classification of comments into positive and negative classes.
To identify the influence of the stemming in the obtained results, the classification was tested with and without stemming.
Obtained results show that stemming does not enhance considerably the classification due to the nature of Algerian comments tied to Algerian Arabic Dialect.
The promising results constitute a motivation for us to improve our approach especially in dealing with non-Arabic sentences, especially Dialectal and French ones.
American Psychological Association (APA)
Rehab, Hisham& Zaytuni, Abd al-Hafiz& Djoudi, Mahieddine. 2020. An enhanced corpus for Arabic newspapers comments. The International Arab Journal of Information Technology،Vol. 17, no. 5, pp.789-798.
https://search.emarefa.net/detail/BIM-1439768
Modern Language Association (MLA)
Rehab, Hisham…[et al.]. An enhanced corpus for Arabic newspapers comments. The International Arab Journal of Information Technology Vol. 17, no. 5 (Sep. 2020), pp.789-798.
https://search.emarefa.net/detail/BIM-1439768
American Medical Association (AMA)
Rehab, Hisham& Zaytuni, Abd al-Hafiz& Djoudi, Mahieddine. An enhanced corpus for Arabic newspapers comments. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 5, pp.789-798.
https://search.emarefa.net/detail/BIM-1439768
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 796-797
Record ID
BIM-1439768