Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)

Research on Chinese Text Classification Algorithm based on Convolutional Neural Network

Authors
Junchao Wei
Corresponding Author
Junchao Wei
Available Online July 2019.
DOI
10.2991/iccia-19.2019.37How to use a DOI?
Keywords
Classification Algorithm; Chinese Text; Convolutional Neural Network.
Abstract

Various information in the era of Internet big data has shown an "explosive" growth, and mining useful information from text data information is one of natural language processing content. In addition to major breakthroughs in image recognition, deep learning convolutional neural networks can also be applied to text classification. Taking Chinese data as the research object, a new text classification model is constructed by using the CNN algorithm and the jump-gram combination of convolutional neural networks. At the same time, the traditional Pinyin classification methods are compared. Through simulation experiments, it is proved that the CNN algorithm has a good effect on text classification, and its classification accuracy is as high as 88%.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
Series
Advances in Computer Science Research
Publication Date
July 2019
ISBN
10.2991/iccia-19.2019.37
ISSN
2352-538X
DOI
10.2991/iccia-19.2019.37How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Junchao Wei
PY  - 2019/07
DA  - 2019/07
TI  - Research on Chinese Text Classification Algorithm based on Convolutional Neural Network
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 250
EP  - 254
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.37
DO  - 10.2991/iccia-19.2019.37
ID  - Wei2019/07
ER  -