Mukhamad Angga Gumilang, Intan Sulistyaningrum Sakkinah, Novan Hartadi, Achmad Choirudin Emcha, Niki Min Hidayati Robbi, Wahyu Nur Hidayat
Intolerance is a problem that arises with the development of social media. These problems sometimes arise if they are related to elements of ethnicity, religion, race, or certain groups. According to some literature, in general, intolerance is a person's feeling that they cannot accept other groups in public discussions that occur on social media. Many researchers have carried out sentiment analysis but have not studied intolerance analysis, even though, in many cases, intolerance is often characterized by negative sentiment or even hate speech. In this study, a classification of intolerance sentences using machine learning is proposed. Furthermore, several calculations of the level and percentage of intolerance for a social media account are also described. The accuracy of machine learning calculations is 97% for intolerance analysis. The calculation of the percentage of intolerance for a social media account is obtained from the number of data dictionaries (corpus) that appear in all text posts. So, the percentage level of intolerance can be calculated to categorize the level of intolerance of a social media account based on text. © 2023 IEEE.
Politeknik Negeri Jember, Department of Information Technology, Jember, Indonesia; Pt Global Data Inspirasi, Yogyakarta, Indonesia; Universitas Negeri Malang, Department of Electrical Engineering and Informatics, Malang, Indonesia
