基于深度学习的热点新闻分类算法研究

Zaiying Wang, Bohao Song
{"title":"基于深度学习的热点新闻分类算法研究","authors":"Zaiying Wang, Bohao Song","doi":"10.1109/ITNEC.2019.8729020","DOIUrl":null,"url":null,"abstract":"Nowadays, the Internet development in full swing, has given rise to a variety of network applications, network news as the basic application in the information age, has been more and more customers favor, however, news website to report news type number many, every day the user focus on hot news, so I need to forecast the hot problem in the news, so in view of the study of this problem, this paper studies deep learning application in text categorization, combined with the characteristics of the news text, put forward the double Bi-Gated Recurrent Unit(GRU) + attention deep learning model to predict hotspots, and achieved good results.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Research on hot news classification algorithm based on deep learning\",\"authors\":\"Zaiying Wang, Bohao Song\",\"doi\":\"10.1109/ITNEC.2019.8729020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, the Internet development in full swing, has given rise to a variety of network applications, network news as the basic application in the information age, has been more and more customers favor, however, news website to report news type number many, every day the user focus on hot news, so I need to forecast the hot problem in the news, so in view of the study of this problem, this paper studies deep learning application in text categorization, combined with the characteristics of the news text, put forward the double Bi-Gated Recurrent Unit(GRU) + attention deep learning model to predict hotspots, and achieved good results.\",\"PeriodicalId\":202966,\"journal\":{\"name\":\"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNEC.2019.8729020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNEC.2019.8729020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

如今,互联网的发展如火如荼,引发了各种各样的网络应用程序,网络新闻的基本应用在信息时代,越来越多的客户青睐,然而,新闻网站报道新闻类型数量很多,每天用户关注热点新闻,所以我需要预测新闻热点的问题,所以针对这个问题的研究,本文研究深度学习在文本分类中的应用,结合新闻文本的特点,提出了双双门控循环单元(GRU) +注意力深度学习模型进行热点预测,取得了较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on hot news classification algorithm based on deep learning
Nowadays, the Internet development in full swing, has given rise to a variety of network applications, network news as the basic application in the information age, has been more and more customers favor, however, news website to report news type number many, every day the user focus on hot news, so I need to forecast the hot problem in the news, so in view of the study of this problem, this paper studies deep learning application in text categorization, combined with the characteristics of the news text, put forward the double Bi-Gated Recurrent Unit(GRU) + attention deep learning model to predict hotspots, and achieved good results.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信