{"title":"一种面向短信情感分析的深度学习分类方法","authors":"A. Goel, K. Batra","doi":"10.1109/ICSCAN49426.2020.9262430","DOIUrl":null,"url":null,"abstract":"In today's world, we humans have been communicating with each other through calls, social media applications like whatsapp, facebook, twitter etc. From the social media apps we get social media data from those applications and check what sentences are positive and negative sentiment using sentiment analysis and using deep learning methods like deep neural networks for using the Hindi tweets dataset and classifying them under positive or negative sentiment polarity from twitter accounts.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"6 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Deep Learning Classification Approach for Short Messages Sentiment Analysis\",\"authors\":\"A. Goel, K. Batra\",\"doi\":\"10.1109/ICSCAN49426.2020.9262430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today's world, we humans have been communicating with each other through calls, social media applications like whatsapp, facebook, twitter etc. From the social media apps we get social media data from those applications and check what sentences are positive and negative sentiment using sentiment analysis and using deep learning methods like deep neural networks for using the Hindi tweets dataset and classifying them under positive or negative sentiment polarity from twitter accounts.\",\"PeriodicalId\":6744,\"journal\":{\"name\":\"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"volume\":\"6 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCAN49426.2020.9262430\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCAN49426.2020.9262430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Deep Learning Classification Approach for Short Messages Sentiment Analysis
In today's world, we humans have been communicating with each other through calls, social media applications like whatsapp, facebook, twitter etc. From the social media apps we get social media data from those applications and check what sentences are positive and negative sentiment using sentiment analysis and using deep learning methods like deep neural networks for using the Hindi tweets dataset and classifying them under positive or negative sentiment polarity from twitter accounts.