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Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic

Domaine:

natural language processing

Type de record:

paperdataset
Créateur:
Yimam, Seid MuhieAyeBie
Hôte:avatar
In this paper, we present an analysis of the first Ethiopic Twitter Dataset for the Amharic language targeted for recognizing abusive speech. The dataset has been collected since 2014 that is written in Fidel script. Since several languages can be written using the Fidel script, we have used the existing Amharic, Tigrinya and Ge'ez corpora to retain only the Amharic tweets. We have analyzed the tweets for abusive speech content with the following targets: Analyze the distribution and tendency of abusive speech content over time and compare the abusive speech content between a Twitter and general reference Amharic corpus.

Visit

arxiv.org

Tasks

hate speech detectiontext classification

Languages

AmharicGeezTigrigna

Tags

Computation and LanguageSocial and Information Networks

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