این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Engineering، جلد ۳۶، شماره ۶، صفحات ۱۰۴۸-۱۰۵۹
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی A Proposed Model for Persian Stance Detection on Social Media
چکیده انگلیسی مقاله Stance detection is a recent research topic that has become an emerging paradigm  of the importance of opinion-mining. It is intended to determine the author’s views toward a specific topic or claim. Stance detection has become an important module in numerous applications such as fake news detection, argument search, claim validation, and author profiling. Despite considerable progress made in this regard in languages like English, unfortunately, we have not made good progress in some languages such as Persian, where we are confronted with a lack of datasets in this area. In this paper, two solutions are used to address this issue: 1) the use of data augmentation and 2) the application of different learning approaches (machine learning, deep learning, and transfer learning) and a meaningful combination of their outcomes. The results show that each of these solutions can not only enhance stance detection performance, but when both are combined, a very significant improvement in the results is achieved.
کلیدواژه‌های انگلیسی مقاله stance detection,Data Augmentation,Fake News,Machine Learning,Deep Learning,Transfer learning,multi-classifier fusion
نویسندگان مقاله M. Farhoodi |
Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

A. Toloie Eshlaghy |
Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

M. R. Motadel |
Central Tehran Branch, Islamic Azad University Tehran, Iran

نشانی اینترنتی https://www.ije.ir/article_165089_a76d843c97e86e801218469b3f361382.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات