Clustering word embeddings with different properties for topic modelling
The goal of topic detection or topic modelling is to uncover the hidden topics in a large corpus. It’s an increasingly useful analysis tool in the information age. As research progresses, topic modelling methods have gradually expanded from probabilistic methods to distributed representations. The e...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/152557 |