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PerBOLD: A Big Dataset of Persian Offensive language on Instagram Comments
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نویسنده
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khodabakhsh maryam ,jafarinejad fateme ,rahimi marziea ,ghayoomi masood
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منبع
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مهندسي برق دانشگاه تبريز - 1402 - دوره : 53 - شماره : 2 - صفحه:149 -158
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چکیده
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Easy access to social media enables users to express their opinions and ideology about various topics like news, videos, and personalities freely, without any fear, and often in an offensive manner. it is a vital task to detect comments with offensive language on social media platforms and relies on a complete and comprehensive tagged dataset. therefore, in this paper, we introduce and make publicly available perbold, a new persian comment dataset collected from instagram as a popular platform among iranian. we follow a two-level manual annotation process in order to determine whether a comment has offensive language or not and fine-grained tags of different types of offensive language. furthermore, we present some interesting aspects of data and analysis them.
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کلیدواژه
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Natural language processing ,offensive language ,social media ,annotation.
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آدرس
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shahrood university of technology, faculty of computer engineering, Iran, shahrood university of technology, faculty of computer engineering, Iran, shahrood university of technology, faculty of computer engineering, Iran, institute for humanities and cultural studies, Iran
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پست الکترونیکی
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m_ghayoomi@ihcs.ac.ir
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Authors
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