A word embedding topic model for topic detection and summary in social networks
The aim of topic detection is to automatically identify the events and hot topics in social networks and continuously track known topics. Applying the traditional methods such as Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis is difficult given the high dimensionality of mass...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-11-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/0020294019865750 |