{"title":"基于Bert模型的土耳其语推文攻击性语言检测","authors":"Anil Özberk, I. Çiçekli","doi":"10.1109/UBMK52708.2021.9559000","DOIUrl":null,"url":null,"abstract":"As the insulting statements increase on the online platform, these negative statements create a reaction and disturb the peace of society. Offensive language detection research has been increased in recent years. This paper explores the effects of the usage of BERT models and fine-tuning techniques on offensive language detection on Turkish tweets. We emphasize the pre-trained model importance on the performance of a downstream task and the importance of the used BERT model.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Offensive Language Detection in Turkish Tweets with Bert Models\",\"authors\":\"Anil Özberk, I. Çiçekli\",\"doi\":\"10.1109/UBMK52708.2021.9559000\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the insulting statements increase on the online platform, these negative statements create a reaction and disturb the peace of society. Offensive language detection research has been increased in recent years. This paper explores the effects of the usage of BERT models and fine-tuning techniques on offensive language detection on Turkish tweets. We emphasize the pre-trained model importance on the performance of a downstream task and the importance of the used BERT model.\",\"PeriodicalId\":106516,\"journal\":{\"name\":\"2021 6th International Conference on Computer Science and Engineering (UBMK)\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 6th International Conference on Computer Science and Engineering (UBMK)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UBMK52708.2021.9559000\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Computer Science and Engineering (UBMK)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UBMK52708.2021.9559000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Offensive Language Detection in Turkish Tweets with Bert Models
As the insulting statements increase on the online platform, these negative statements create a reaction and disturb the peace of society. Offensive language detection research has been increased in recent years. This paper explores the effects of the usage of BERT models and fine-tuning techniques on offensive language detection on Turkish tweets. We emphasize the pre-trained model importance on the performance of a downstream task and the importance of the used BERT model.