Hongping Wu1, Yuling Liu1, *, Jingwen Wang2
CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1309-1321, 2020, DOI:10.32604/cmc.2020.010172
- 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 More >
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