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seededlda: Seeded Sequential LDA for Topic Modeling
Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>. Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.
Getting started
Browse package contents
Package details |
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| Author | Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph] (GibbsLDA++) |
| Maintainer | Kohei Watanabe <watanabe.kohei@gmail.com> |
| License | GPL-3 |
| Version | 1.4.2 |
| URL | https://github.com/koheiw/seededlda https://koheiw.github.io/seededlda/ |
| Package repository | View on CRAN |
| Installation |
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