Use of Neural Topic Models in conjunction with Word Embeddings to extract meaningful topics from short texts
Unsupervised machine learning is utilized as a part of the process of topic modeling to discover dormant topics hidden within a large number of documents. The topic model can help with the comprehension, organization, and summarization of large amounts of text. Additionally, it can assist with the d...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2022-09-01
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| Series: | EAI Endorsed Transactions on Internet of Things |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/IoT/article/view/2263 |