Logical Framework for Hate Speech Detection on Religion Issues in Indonesia W Darmalaksana, FS Irwansyah, H Sugilar, DS Maylawati, and WD Ismail Azis
UIN Sunan Gunung Djati Bandung
Abstract
Hate speech is a hot issue in social media era, including in Indonesia. This paper presents the concept of logical framework to analyze 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
Keywords: data mining, hate speech, logical framework, sequential pattern mining, software engineering, text mining
