Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Friday Thomas Ibharalu"'
Publikováno v:
International Journal of Intelligent Computing and Cybernetics. 13:485-525
PurposeHate speech is an expression of intense hatred. Twitter has become a popular analytical tool for the prediction and monitoring of abusive behaviors. Hate speech detection with social media data has witnessed special research attention in recen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20deb4451367410067ecfc46b7a85c35
https://doi.org/10.1108/ijicc-06-2020-0061
https://doi.org/10.1108/ijicc-06-2020-0061
Autor:
Friday Thomas Ibharalu, Idowu Ademola Osinuga, Adebayo Abayomi-Alli, Femi Emmanuel Ayo, Olusegun Folorunso
Publikováno v:
Expert Systems with Applications. 173:114762
The key challenges for automatic hate-speech classification in Twitter are the lack of generic architecture, imprecision, threshold settings and fragmentation issues. Most studies used binary classifiers for hate speech classification, but these clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ae6deacd24a53d1d8f05520492cd2d6
https://doi.org/10.1016/j.eswa.2021.114762
https://doi.org/10.1016/j.eswa.2021.114762
Publikováno v:
Expert Systems with Applications. 80:263-272
A probabilistic approach to event log completeness is proposed.The population of good individuals increases with the application of scoring functions.The approach serve as an alternative to the filtering method of preprocessing event logs.The results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dd7d3045886ba25da90a2f9be1cd786
https://doi.org/10.1016/j.eswa.2017.03.039
https://doi.org/10.1016/j.eswa.2017.03.039
Publikováno v:
American Journal of Computer Sciences and Applications.
Ifa scholars have primarily focused on its sociological and linguistic aspects while the scientific and computer aspects have been variously neglected. This paper explored the mathematical and computer model of Ifa corpus, which will assist Ifa pries
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::984156fb566110e04453840b45990dee
https://doi.org/10.28933/ajcsa-2019-06-3005
https://doi.org/10.28933/ajcsa-2019-06-3005
Publikováno v:
Computer Science Review. 38:100311
Twitter is a microblogging tool that allow the creation of big data through short digital contents. This study provides a survey of machine learning techniques for hate speech classification from Twitter data streams. Hate speech classification in Tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90dcaa55a901bca457bf6a521d1f6b26
https://doi.org/10.1016/j.cosrev.2020.100311
https://doi.org/10.1016/j.cosrev.2020.100311