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JCR 2016
جستجوی مقالات
شنبه 6 دی 1404
International Journal of Information and Communication Technology Research (IJICT
، جلد ۱۵، شماره ۱، صفحات ۶۳-۷۱
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
The Effect of Data Augmentation Techniques on Persian Stance Detection
چکیده انگلیسی مقاله
The purpose of stance detection is to identify the author's stance toward a particular topic or claim. Stance detection has become a key component in applications such as fake news detection, claim validation, argument searching, and author profiling. Although significant progress has been made in stance detection in languages such as English, little attention has been paid in some other languages, including Persian. One of the main problems of research in Persian stance detection is the shortage of appropriate datasets. In this article, to address this problem, we consider data augmentation, the artificial creation of training data, which is used to conquer the shortage of datasets. In this research, we studied several methods of data augmentation such as EDA, back-translation, and merging source dataset with similar one in English language. The experimental results indicate that combining the primary data set with the translation of another dataset with similar content in another language (for example English) result in a significant improvement in the performance of the model.
کلیدواژههای انگلیسی مقاله
stance detection, data augmentation. fake news, dataset
نویسندگان مقاله
| Mojgan Farhoodi
Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
| Abbas Toloie Eshlaghi
Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
| Mohamadreza Motadel
Central Tehran Branch, Islamic Azad University, Tehran, Iran
نشانی اینترنتی
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-4430-3&slc_lang=en&sid=1
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en
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