{"title":"基于Bert的动态电子卷轴自动审查中文情感分析","authors":"Zong-Yu He, Wei-Liang Lin","doi":"10.1109/RASSE54974.2022.9989941","DOIUrl":null,"url":null,"abstract":"This article uses BERT[1] algorithm to judge Chinese sentiment. The goal is to automatically censor short advertising words on advertising boards or message boards, and filter out some inappropriate speeches. The method is to collect various speeches on the internet, including online shopping reviews, meal reviews, store reviews, etc., as well as emotion dictionaries, and use these data to train the algorithm so that the algorithm can correctly identify the emotions of short sentences.","PeriodicalId":382440,"journal":{"name":"2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bert Based Chinese Sentiment Analysis for Automatic Censoring of Dynamic Electronic Scroll\",\"authors\":\"Zong-Yu He, Wei-Liang Lin\",\"doi\":\"10.1109/RASSE54974.2022.9989941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article uses BERT[1] algorithm to judge Chinese sentiment. The goal is to automatically censor short advertising words on advertising boards or message boards, and filter out some inappropriate speeches. The method is to collect various speeches on the internet, including online shopping reviews, meal reviews, store reviews, etc., as well as emotion dictionaries, and use these data to train the algorithm so that the algorithm can correctly identify the emotions of short sentences.\",\"PeriodicalId\":382440,\"journal\":{\"name\":\"2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RASSE54974.2022.9989941\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RASSE54974.2022.9989941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bert Based Chinese Sentiment Analysis for Automatic Censoring of Dynamic Electronic Scroll
This article uses BERT[1] algorithm to judge Chinese sentiment. The goal is to automatically censor short advertising words on advertising boards or message boards, and filter out some inappropriate speeches. The method is to collect various speeches on the internet, including online shopping reviews, meal reviews, store reviews, etc., as well as emotion dictionaries, and use these data to train the algorithm so that the algorithm can correctly identify the emotions of short sentences.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
