Open AccessLogical framework for hate speech detection on religion issues in Indonesia
Author(s) -
Wahyudin Darmalaksana,
Ferli Septi Irwansyah,
H. Sugilar,
Dian Sa’adillah Maylawati,
W. D. I. Azis,
Ali Rahman
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1098/3/032046
Subject(s) - social media , computer science , voice activity detection , speech act , logical analysis , logical conjunction , data science , natural language processing , linguistics , speech processing , artificial intelligence , world wide web , mathematics , philosophy , mathematical statistics , statistics , programming language
Hate speech is a hot issue in social media era, including in Indonesia. This paper presents the concept of logical framework to analyse and detect whether the content from text in social media contains hate speech on religion issues or not. This paper use literature review to propose the logical framework for hate speech detection. We propose the text mining as a part of data mining technique that combine with sequential pattern mining to detect hate speech from social media with text data. Based on the proposed logical framework to detect hate speech from social media, it is possible and recommended to be implemented in the future research to prevent hate speech distribution which can cause disunity and commotion in the community.