Causality model for text data with a hierarchical topic structure
This study describes a method for constructing a causality model from text data, such as review data. Topic modeling is useful to find these evaluation factors from text data. The method based on hierarchical latent Dirichlet allocation is useful because it automatically constructs relationships amo...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/13203674.v1 |
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