Towards a Language Identification Approach for the Detection of Abusive Messages in Tweets of Mixed Wolof-French Codes

Domain:

natural language processing

Record type:

paper

Creator:

IbrKhaGorGay

Publisher:

Spr

Host:

Visit

Tasks

code switching language identification

Languages

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mining https://www.springernature.com/gp/researchers/text-and-data-mining

Similar

Comparative Study of Machine Learning Models for the Detection of Abusive Messages: Case of Wolof-French Codes Mixing DataSenAbus : Annotated tweet corpus of mixed Wolof-French code for detecting abusive messagesAnnotated tweet data of mixed Wolof-French for detecting obnoxious messagesAWOFRO : Annotated tweet corpus of mixed Wolof-French for detecting obnoxious messagesAnnDoom : Annotated tweet corpus of mixed Wolof-French for detecting obnoxious messagesA Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection

Comparative Study of Machine Learning Models for the Detection of Abusive Messages: Case of Wolof-French Codes Mixing Data

International audience This paper presents a comparative study of machine learning mo

SenAbus : Annotated tweet corpus of mixed Wolof-French code for detecting abusive messages

These data are tweets of mixed Wolof-French codes annotated by three(3) annotators. They were extrac

Annotated tweet data of mixed Wolof-French for detecting obnoxious messages

AWOFRO : Annotated tweet corpus of mixed Wolof-French for detecting obnoxious messages

These data are tweets of mixed Wolof-French codes annotated by three(3) annotators. They were extrac

AnnDoom : Annotated tweet corpus of mixed Wolof-French for detecting obnoxious messages

These data are tweets of mixed Wolof-French codes annotated by three(3) annotators. They were extrac

A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection

Social media platforms like twitter and facebook have be- come two of the largest mediums used by pe