Work

Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic

Year: 2019

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1912.04419

Authors: Yimam, Seid Muhie, Ayele, Abinew Ali, Biemann, Chris

Institutions: Universität Hamburg, Bahir Dar University

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2996116775

Cites: 3

Cited by: 7

Related to: 10