Liang et al., 2020 - Google Patents
A double channel CNN-LSTM model for text classificationLiang et al., 2020
- Document ID
- 14084322118658214200
- Author
- Liang S
- Zhu B
- Zhang Y
- Cheng S
- Jin J
- Publication year
- Publication venue
- 2020 IEEE 22nd international conference on high performance computing and communications; IEEE 18th international conference on Smart City; IEEE 6th international conference on data science and systems (HPCC/SmartCity/DSS)
External Links
Snippet
The CNN-LSTM model has the advantages of combining Convolutional Neural Network (CNN) and Long-Short Term Memory (LSTM). It can perform timing analysis while extracting abstract features. It is widely used in Computer Vision and Natural Language Processing …
- 230000001537 neural 0 abstract description 26
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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