Bochun: Automatically annotated stance detection dataset for Sorani Kurdish language.

ABSTRACT: This Research presents the first-ever, high-quality, automatically annotated Kurdish stance detection dataset in the Sorani dialect to fill the gap of lacking annotated resources for Kurdish, a low-resource language in Natural Language Processing (NLP). The dataset consists of 2,174 Kurdish news articles-1,410 economic and 764 political-that were originally published in 2024 and 2025, which are recent and topically relevant. By selecting these texts from well-known Kurdish news agencies, content validity and linguistic purity were preserved throughout. Necessary preprocessing techniques are applied. Annotation is carried out in two steps. First, a pattern-recognition method with 2,456 phrases and keywords was applied to determine if the subject of every text fell into the economics or poli

SUBMITTER: Rostam PS 

PROVIDER: S-EPMC12266528 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature