Pashto offensive language detection: a benchmark dataset and monolingual Pashto BERT.

ABSTRACT: Social media platforms have become inundated with offensive language. This issue must be addressed for the growth of online social networks (OSNs) and a healthy online environment. While significant research has been devoted to identifying toxic content in major languages like English, this remains an open area of research in the low-resource Pashto language. This study aims to develop an AI model for the automatic detection of offensive textual content in Pashto. To achieve this goal, we have developed a benchmark dataset called the Pashto Offensive Language Dataset (POLD), which comprises tweets collected from Twitter and manually classified into two categories: "offensive" and "not offensive". To discriminate these two categories, we investigated the classic deep learning classifiers ba

SUBMITTER: Haq I 

PROVIDER: S-EPMC10702970 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature