All Title Author
Keywords Abstract

Publish in OALib Journal
ISSN: 2333-9721
APC: Only $99


Review of Text Classification in Deep Learning

DOI: 10.4236/oalib.1107175, PP. 1-8

Subject Areas: Information Science

Keywords: Text Classification, Word-Embedding, Convolution Neural Network, Long and Short Term Memory Network

Full-Text   Cite this paper   Add to My Lib


Text classification is an important research content in natural language processing. Compared with traditional manual processing, text classification based on deep learning improves both efficiency and accuracy. However, in the learning process, the content involved is very large and complex. In order to facilitate the research of more scholars, this paper summarizes the text classification of deep learning. The first part of this paper introduces the preprocessing of text classification. The second part introduces several feasible methods for deep learning text classification in detail. The third part introduces the test method of the model. The fourth part summarizes and analyzes the advantages and disadvantages of several methods to lay a foundation for further research.

Cite this paper

Wang, Q. , Li, W. and Jin, Z. (2021). Review of Text Classification in Deep Learning. Open Access Library Journal, 8, e7175. doi:


[1]  Che, J.H., Feng, Y.X., Tan, J.R., et al. (2007) Classification of Product Design Knowledge Documents Based on Decision Support Vector Machine. Computer Integrated Manufacturing Systems, No. 5, 891-897.
[2]  Pang, X.L., Feng, Y.Q. and Jiang, W. (2008) Compensation Strategy for Missing Feature Words in Bayesian Text Classification. Journal of Harbin Institute of Technology, 40, 956-960.
[3]  Zhu, Y.P. and Dai, R.W. (2005) Text Classifier Based on SVM Decision Tree. Pattern Recognition and Artificial Intelligence, 18, 412-416.
[4]  Yu, Y., Miao, D.Q., Liu, C.H., et al. (2012) An Improved KNN Classification Algorithm Based on Variable Precision Rough Set. Pattern Recognition and Artificial Intelligence, 25, 617-623.
[5]  Huang, W.M. and Sun, Y.Q. (2017) Chinese Short Text Sentiment Analysis Based on Maximum Entropy. Computer Engineering and Design, 38, 138-143.
[6]  Kim, Y. (2014) Convolutional Neural Networks for Sentence Classification. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, 1746-1751. arXiv: 1408.5882
[7]  Ji, L.K. (2019) Research on Text Sentiment Analysis Technology Based on Deep Learning. Beijing University of Posts and Telecommunications, Beijing.
[8]  Schuster, M. and Paliwal, K. (1997) Bidirectional Recurrent Neural Networks. IEEE Transactions on Signal Processing, 45, 2673-2681.
[9]  Wang, H.T., Song, W. and Wang, H. (2020) A Text Classification Method Based on LSTM and CNN Hybrid Model. Journal of Small and Microcomputer Systems, 41, 1163-1168.


comments powered by Disqus

Contact Us


微信:OALib Journal