{"title":"深度学习在情感分析中的应用","authors":"Neha Sharma, S. Veenadhari, Rachna Kulhare","doi":"10.24113/ijoscience.v7i6.392","DOIUrl":null,"url":null,"abstract":"Deep learning is a type of artificial intelligence that employs neural networks, a multi-layered structure of algorithms. Deep learning is an accumulation of artificial intelligence statistics based on artificial neural networks for the teaching of functional hierarchies. In sentiment analysis, deep learning is also applied. This paper begins with an overview of deep learning before moving on to a detailed examination of its present uses in sentiment analysis.","PeriodicalId":429424,"journal":{"name":"SMART MOVES JOURNAL IJOSCIENCE","volume":"65 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Deep Learning For Sentiment Analysis\",\"authors\":\"Neha Sharma, S. Veenadhari, Rachna Kulhare\",\"doi\":\"10.24113/ijoscience.v7i6.392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deep learning is a type of artificial intelligence that employs neural networks, a multi-layered structure of algorithms. Deep learning is an accumulation of artificial intelligence statistics based on artificial neural networks for the teaching of functional hierarchies. In sentiment analysis, deep learning is also applied. This paper begins with an overview of deep learning before moving on to a detailed examination of its present uses in sentiment analysis.\",\"PeriodicalId\":429424,\"journal\":{\"name\":\"SMART MOVES JOURNAL IJOSCIENCE\",\"volume\":\"65 10\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SMART MOVES JOURNAL IJOSCIENCE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24113/ijoscience.v7i6.392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SMART MOVES JOURNAL IJOSCIENCE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24113/ijoscience.v7i6.392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Deep Learning For Sentiment Analysis
Deep learning is a type of artificial intelligence that employs neural networks, a multi-layered structure of algorithms. Deep learning is an accumulation of artificial intelligence statistics based on artificial neural networks for the teaching of functional hierarchies. In sentiment analysis, deep learning is also applied. This paper begins with an overview of deep learning before moving on to a detailed examination of its present uses in sentiment analysis.