The Joint Framework for Dynamic Topic Semantic Link Network Prediction
To explore the maximum potential of textual data, a well-organized dynamic semantic structure of the topics is in fact of great importance for effectively supporting the advanced intelligent application. The proposed framework joints the Gaussian mixture model and the Bayesian network to conduct inf...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8590797/ |