Research on Chinese Text Classification Algorithm based on Convolutional Neural Network

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/).

Download article (PDF)

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  -