B.B Sakti Putra Perdana, Budhi Irawan, C. Setianingsih
{"title":"基于深度神经网络分类的Instagram评论区印尼语仇恨语音检测","authors":"B.B Sakti Putra Perdana, Budhi Irawan, C. Setianingsih","doi":"10.1109/APWiMob48441.2019.8964197","DOIUrl":null,"url":null,"abstract":"Instagram is the second social media that is often used by people, especially in Indonesia. Instagram has a function to comment on photos or videos uploaded by users. Comments that submitted by a community, some of them are positive, some of them are negative. Which one is hate speech. Based on ITE constitution that prohibited acts are intentionally and without rights to disseminate information intended to incite hatred or hostility of certain individuals and/or groups of people based on ethnicity, religion, race, and intergroup. Authorities find it difficult to handle the hate speech because there are many variations of hate speech. Therefore, the system is made to detect hate speech using Deep Neural Network method. With this system, it can be to help the authorities to handle this case, especially on Instagram comment section. From the research results of this final task in classifying a hate speech from Instagram column comment section obtained accuracy with an average 97.19%.","PeriodicalId":286003,"journal":{"name":"2019 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Hate Speech Detection in Indonesian Language on Instagram Comment Section Using Deep Neural Network Classification Method\",\"authors\":\"B.B Sakti Putra Perdana, Budhi Irawan, C. Setianingsih\",\"doi\":\"10.1109/APWiMob48441.2019.8964197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Instagram is the second social media that is often used by people, especially in Indonesia. Instagram has a function to comment on photos or videos uploaded by users. Comments that submitted by a community, some of them are positive, some of them are negative. Which one is hate speech. Based on ITE constitution that prohibited acts are intentionally and without rights to disseminate information intended to incite hatred or hostility of certain individuals and/or groups of people based on ethnicity, religion, race, and intergroup. Authorities find it difficult to handle the hate speech because there are many variations of hate speech. Therefore, the system is made to detect hate speech using Deep Neural Network method. With this system, it can be to help the authorities to handle this case, especially on Instagram comment section. From the research results of this final task in classifying a hate speech from Instagram column comment section obtained accuracy with an average 97.19%.\",\"PeriodicalId\":286003,\"journal\":{\"name\":\"2019 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APWiMob48441.2019.8964197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWiMob48441.2019.8964197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hate Speech Detection in Indonesian Language on Instagram Comment Section Using Deep Neural Network Classification Method
Instagram is the second social media that is often used by people, especially in Indonesia. Instagram has a function to comment on photos or videos uploaded by users. Comments that submitted by a community, some of them are positive, some of them are negative. Which one is hate speech. Based on ITE constitution that prohibited acts are intentionally and without rights to disseminate information intended to incite hatred or hostility of certain individuals and/or groups of people based on ethnicity, religion, race, and intergroup. Authorities find it difficult to handle the hate speech because there are many variations of hate speech. Therefore, the system is made to detect hate speech using Deep Neural Network method. With this system, it can be to help the authorities to handle this case, especially on Instagram comment section. From the research results of this final task in classifying a hate speech from Instagram column comment section obtained accuracy with an average 97.19%.