{"title":"Health rumors detection based on deep learning","authors":"Wei Zhao, Qian Zhan, Yujin Yan","doi":"10.1109/ICCST53801.2021.00092","DOIUrl":null,"url":null,"abstract":"In this paper, we use the open source paddlepaddle framework, choose the LSTM algorithm to build a health rumor detection platform, and train the model through a self-built Chinese health rumor data set, so as to predict whether the social media information is a health type rumor, and provide a theoretical exploration and effective implementation for the automatic judgement of health rumors.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCST53801.2021.00092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we use the open source paddlepaddle framework, choose the LSTM algorithm to build a health rumor detection platform, and train the model through a self-built Chinese health rumor data set, so as to predict whether the social media information is a health type rumor, and provide a theoretical exploration and effective implementation for the automatic judgement of health rumors.