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@article{ART002537588},
author={Guangxing Wang and SeongYoon Shin and Won Joo Lee},
title={A Text Sentiment Classification Method Based on LSTM-CNN},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={12},
pages={1-7},
doi={10.9708/jksci.2019.24.12.001}

TY - JOUR
AU - Guangxing Wang
AU - SeongYoon Shin
AU - Won Joo Lee
TI - A Text Sentiment Classification Method Based on LSTM-CNN
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 12
PB - The Korean Society Of Computer And Information
SP - 1
EP - 7
SN - 1598-849X
AB - With the in-depth development of machine learning, the deep learning method has made great progress, especially with the Convolution Neural Network(CNN). Compared with traditional text sentiment classification methods, deep learning based CNNs have made great progress in text classification and processing of complex multi-label and multi-classification experiments. However, there are also problems with the neural network for text sentiment classification. In this paper, we propose a fusion model based on Long-Short Term Memory networks(LSTM) and CNN deep learning methods, and applied to multi-category news datasets, and achieved good results. Experiments show that the fusion model based on deep learning has greatly improved the precision and accuracy of text sentiment classification. This method will become an important way to optimize the model and improve the performance of the model.
KW - Machine Learning;CNN;LSTM;Text Sentiment Classification Methods;Deep Learning
DO - 10.9708/jksci.2019.24.12.001
ER -

Guangxing Wang, SeongYoon Shin and Won Joo Lee. (2019). A Text Sentiment Classification Method Based on LSTM-CNN. Journal of The Korea Society of Computer and Information, 24(12), 1-7.

Guangxing Wang, SeongYoon Shin and Won Joo Lee. 2019, "A Text Sentiment Classification Method Based on LSTM-CNN", Journal of The Korea Society of Computer and Information, vol.24, no.12 pp.1-7. Available from: doi:10.9708/jksci.2019.24.12.001

Guangxing Wang, SeongYoon Shin, Won Joo Lee "A Text Sentiment Classification Method Based on LSTM-CNN" Journal of The Korea Society of Computer and Information 24.12 pp.1-7 (2019) : 1.

Guangxing Wang, SeongYoon Shin, Won Joo Lee. A Text Sentiment Classification Method Based on LSTM-CNN. 2019; 24(12), 1-7. Available from: doi:10.9708/jksci.2019.24.12.001

Guangxing Wang, SeongYoon Shin and Won Joo Lee. "A Text Sentiment Classification Method Based on LSTM-CNN" Journal of The Korea Society of Computer and Information 24, no.12 (2019) : 1-7.doi: 10.9708/jksci.2019.24.12.001

Guangxing Wang; SeongYoon Shin; Won Joo Lee. A Text Sentiment Classification Method Based on LSTM-CNN. Journal of The Korea Society of Computer and Information, 24(12), 1-7. doi: 10.9708/jksci.2019.24.12.001

Guangxing Wang; SeongYoon Shin; Won Joo Lee. A Text Sentiment Classification Method Based on LSTM-CNN. Journal of The Korea Society of Computer and Information. 2019; 24(12) 1-7. doi: 10.9708/jksci.2019.24.12.001

Guangxing Wang, SeongYoon Shin, Won Joo Lee. A Text Sentiment Classification Method Based on LSTM-CNN. 2019; 24(12), 1-7. Available from: doi:10.9708/jksci.2019.24.12.001

Guangxing Wang, SeongYoon Shin and Won Joo Lee. "A Text Sentiment Classification Method Based on LSTM-CNN" Journal of The Korea Society of Computer and Information 24, no.12 (2019) : 1-7.doi: 10.9708/jksci.2019.24.12.001