Research on hot news classification algorithm based on deep learning

被引：4
|
作者：
Wang, Zaiying [1 ]
Song, Bohao [1 ]
机构：
[1] Xian Univ Sci & Technol, Xian 710054, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019) | 2019年
关键词：
deep learning; Hot news forecast; Attention; Text classification;
D O I：
10.1109/itnec.2019.8729020
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：2376 / 2380
页数：5
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