{"title":"比较卷积神经网络和长短期记忆网络在基于灾难的社交媒体信息中的有效性——以雷暴和气旋为例研究","authors":"A. Singla, R. Agrawal, N. T. D. Linh","doi":"10.15439/2021km66","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":390542,"journal":{"name":"International Conference on Research in Management & Technovation","volume":"251 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages - Using Thunderstorm and Cyclone as Case Studies\",\"authors\":\"A. Singla, R. Agrawal, N. T. D. Linh\",\"doi\":\"10.15439/2021km66\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":390542,\"journal\":{\"name\":\"International Conference on Research in Management & Technovation\",\"volume\":\"251 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Research in Management & Technovation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15439/2021km66\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Research in Management & Technovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15439/2021km66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages - Using Thunderstorm and Cyclone as Case Studies