• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Luan, Yuandong (Luan, Yuandong.) | Lin, Shaofu (Lin, Shaofu.)

Indexed by:

EI Scopus

Abstract:

With the rapid development of deep learning technology, CNN and LSTM have become two of the most popular neural networks. This paper combines CNN and LSTM or its variant and makes a slight change. It proposes a text classification model named NA-CNN-LSTM or NA-CNN-COIF-LSTM, which has no activation function in CNN. The experimental results on the subjective and objective text categorization dataset [1] show that the proposed model has better performance than the standard CNN or LSTM. © 2019 IEEE.

Keyword:

Deep learning Classification (of information) Text processing Long short-term memory

Author Community:

  • [ 1 ] [Luan, Yuandong]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Lin, Shaofu]Faculty of Information Technology, Beijing University of Technology, Beijing, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2019

Page: 352-355

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 147

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

Online/Total:785/10530742
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.