PrashantGokul, K. and Sundararajan, M. (2021) An Efficient Nonnegative Matrix Factorization Topic Modeling for Business Intelligence. In: Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.
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Abstract
Topic models can give us a knowledge into the basic latent design of an enormous corpus of documents. A scope of strategies have been planned in the writing, including probabilistic topic models and methods dependent on matrix factorization. Notwithstanding, the subsequent topics frequently address
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 14:24 |
| Last Modified: | 17 Apr 2026 08:29 |
| URI: | http://eprints.eai.eu/id/eprint/34600 |
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