HABBAT, Nassera and ANOUN, Houda and HASSOUNI, Larbi and NOURI, Hicham (2022) Use of Neural Topic Models in conjunction with Word Embeddings to extract meaningful topics from short texts. EAI Endorsed Transactions on Internet of Things.
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Abstract
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
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 15:45 |
| Last Modified: | 11 Apr 2026 11:46 |
| URI: | http://eprints.eai.eu/id/eprint/40687 |
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