ntvНаучно-технический вестник информационных технологий, механики и оптикиScientific and Technical Journal of Information Technologies, Mechanics and Optics2226-14942500-0373Университет ИТМО10.17586/2226-1494-2022-22-2-308-316ntv-163Research ArticleКОМПЬЮТЕРНЫЕ СИСТЕМЫ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИCOMPUTER SCIENCEСоздание корпуса иракского арабского диалекта в Твиттере для анализа настроенийConstructing twitter corpus of Iraqi Arabic Dialect (CIAD) for sentiment analysishttps://orcid.org/0000-0001-6750-0294Хассун Аль-ДжавадМ. М.Hassoun Al-JawadM. M.

Хассун Аль-Джавад Мохаммед М. — PhD, научный работник, преподаватель 

Кербела, 56001 

 sc 57216978290 

Mohammed M. Hassoun Al-Jawad — PhD, Academic Staff, Lecturer 

 Karbala, 51001 

 sc 57216978290 

mohammedm@uokerbala.edu.iqhttps://orcid.org/0000-0003-2577-278XАльхарбиХ.AlharbiH.

Альхарби Хасанейн — научный сотрудник, преподаватель 

Вавилон, 51002 

 Hasaneun Alharbi — Academic Staff, Lecturer 

 Babylon, 51002 

hasanein.alharbi@uobabylon.edu.iqhttps://orcid.org/0000-0002-4585-3977АльмухтарА. Ф.AlmukhtarA.

Альмухтар Ахмед Ф. — PhD, научный работник, преподаватель 

 Кербела, 56001 

Ahmed Almukhtar — PhD, Academic Staff, Lecturer 

Karbala, 51001 

ahmed.ahmukhtar@uokerbala.edu.iqhttps://orcid.org/0000-0001-9181-9377АлнавасА. А.AlnawasA. A.

Алнавас Анвар Аднан — PhD, начальник департамента

Насири

 sc 57205432645  

Anwar A. Alnawas — PhD, Head of Department

Nasiriyah

 sc 57205432645  

anwar.alnawas@stu.edu.iqУниверситет Кербелы, Колледж компьютерных наук и информационных технологийИракUniversity of Kerbala, College of Computer Science and Information TechnologyIraqУниверситет Вавилона, Колледж информационных технологийИракUniversity of Babylon, IT CollegeIraqЮжный технический университет, Технический институт в НасириИракSouthern Technical University, Nasiriyah Technical InstituteIraq202214122024222308316Copyright © Хассун Аль-Джавад М., Альхарби Х., Альмухтар А., Алнавас А., 20242024Хассун Аль-Джавад М., Альхарби Х., Альмухтар А., Алнавас А.Hassoun Al-Jawad M., Alharbi H., Almukhtar A., Alnawas A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ntv.elpub.ru/jour/article/view/163

За последние годы количество пользователей Twitter в Ираке значительно увеличилось. Крупные события и политическая обстановка в стране оказывают значительное влияние на информацию в Twitter и затрагивают сообщения иракских пользователей. Создание корпуса иракских арабских диалектов Corpus of Iraqi Arabic Dialect (CIAD) имеет решающее значение для анализа настроений и изучения такой информации. Представлено исследование CIAD, который был разработан и описан другими исследователями. Корпус проверен с использованием восьми различных комбинаций четырех подходов к выбору признаков и двух версий алгоритма метода опорных векторов. Рассчитаны различные показатели эффективности. Полученная точность составила 78 %, что указывает на многообещающее потенциальное применение.

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.

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The authors declare that there are no conflicts of interest present.