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Volume 16, Issue 3 (7-2024)
itrc 2024, 16(3): 25-34 |
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Bokaei M H, Nassajian M, Farhoodi M, Davoudi Shamsi M. Claim Detection in Persian Twitter Posts. itrc 2024; 16 (3) :25-34
URL: http://journal.itrc.ac.ir/article-1-588-en.html
URL: http://journal.itrc.ac.ir/article-1-588-en.html
1- ICT Research Institute Tehran, Iran , mh.bokaei@itrc.ac.ir
2- Alumni of Computational Linguistics, Sharif University of Technology
3- ICT Research Institute Tehran, Iran
2- Alumni of Computational Linguistics, Sharif University of Technology
3- ICT Research Institute Tehran, Iran
Abstract: (1652 Views)
The proliferation of false information on social media has profound negative impacts across various aspects of people's lives. To mitigate these effects, numerous studies have focused on developing automated factchecking systems aimed at enhancing the accuracy and reliability of news and information. Claim detection, recognized as the initial stage in constructing such systems, has been explored in several languages. In our paper, we introduce a corpus of Persian tweets annotated with 11 labels derived from linguistic analysis, representing different types of claims. Additionally, we establish a baseline claim detection model to assess the dataset. This study frames claim detection as a classification task and employs a transformer-based approach to train a multi-label classifier capable of identifying various types of claims in Persian texts.
Keywords: Automatic Claim Detection, Persian Language Processing, Low-resource language, Multi Label Classification
Type of Study: Research |
Subject:
Information Technology
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