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Emotion Classification in Arabic Poetry using Machine Learning
by
Ouais Alsharif,
Deema Alshamaa,
Nada Ghneim
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 65 - Number 16 |
| Year of Publication: 2013 |
| Authors: Ouais Alsharif, Deema Alshamaa, Nada Ghneim |
10.5120/11006-6300
|
Ouais Alsharif, Deema Alshamaa, Nada Ghneim . Emotion Classification in Arabic Poetry using Machine Learning. International Journal of Computer Applications. 65, 16 ( March 2013), 10-15. DOI=10.5120/11006-6300
@article{
10.5120/11006-6300,
author = {
Ouais Alsharif,
Deema Alshamaa,
Nada Ghneim
},
title = { Emotion Classification in Arabic Poetry using Machine Learning },
journal = {
International Journal of Computer Applications
},
issue_date = { March 2013 },
volume = { 65 },
number = { 16 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = {
10-15
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume65/number16/11006-6300/
},
doi = { 10.5120/11006-6300 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:20:34.353088+05:30
%A Ouais Alsharif
%A Deema Alshamaa
%A Nada Ghneim
%T Emotion Classification in Arabic Poetry using Machine Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 16
%P 10-15
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In recent years, work on sentiment analysis and automatic text classification in Arabic has seen some progress. However, the problem of emotion classification remains widely under-researched. This work attempts to remedy the situation by considering the problem of classifying documents by their overall sentiment into four affect categories that are present in Arabic poetry- Retha, Ghazal, Fakhr and Heja. This work begins by building an emotional annotated Arabic poetry corpus. The impact of different levels of language preprocessing settings, feature vector dimensions and machine learning algorithms is, then, investigated and evaluated on the emotion classi?cation task.
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Index Terms
Computer Science
Information Sciences
Keywords