Open Access
ARTICLE
Review of Text Classification Methods on Deep Learning
Hongping Wu1, Yuling Liu1, *, Jingwen Wang2
1College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
2 Department of Computer Science, Elizabethtown College, PA, 17022, USA.
* Corresponding Author: Yuling Liu. Email: .
Computers, Materials & Continua 2020, 63(3), 1309-1321. https://doi.org/10.32604/cmc.2020.010172
Received 15 February 2020; Accepted 25 February 2020; Issue published 30 April 2020
Abstract
Text classification has always been an increasingly crucial topic in natural
language processing. Traditional text classification methods based on machine learning
have many disadvantages such as dimension explosion, data sparsity, limited generalization
ability and so on. Based on deep learning text classification, this paper presents an
extensive study on the text classification models including Convolutional Neural
Network-Based (CNN-Based), Recurrent Neural Network-Based (RNN-based), Attention
Mechanisms-Based and so on. Many studies have proved that text classification methods
based on deep learning outperform the traditional methods when processing large-scale and
complex datasets. The main reasons are text classification methods based on deep learning
can avoid cumbersome feature extraction process and have higher prediction accuracy for a
large set of unstructured data. In this paper, we also summarize the shortcomings of
traditional text classification methods and introduce the text classification process based on
deep learning including text preprocessing, distributed representation of text, text
classification model construction based on deep learning and performance evaluation.
Keywords
Cite This Article
APA Style
Wu, H., Liu, Y., Wang, J. (2020). Review of text classification methods on deep learning. Computers, Materials & Continua, 63(3), 1309-1321. https://doi.org/10.32604/cmc.2020.010172
Vancouver Style
Wu H, Liu Y, Wang J. Review of text classification methods on deep learning. Comput Mater Contin. 2020;63(3):1309-1321 https://doi.org/10.32604/cmc.2020.010172
IEEE Style
H. Wu, Y. Liu, and J. Wang "Review of Text Classification Methods on Deep Learning," Comput. Mater. Contin., vol. 63, no. 3, pp. 1309-1321. 2020. https://doi.org/10.32604/cmc.2020.010172
Citations