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seededlda  

Seeded Sequential LDA for Topic Modeling
View on CRAN: Click here


Download and install seededlda package within the R console
Install from CRAN:
install.packages("seededlda")

Install from Github:
library("remotes")
install_github("cran/seededlda")

Install by package version:
library("remotes")
install_version("seededlda", "1.2.1")



Attach the package and use:
library("seededlda")
Maintained by
Kohei Watanabe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-17
Latest Update: 2023-07-01
Description:
Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) . Implements Seeded LDA (Lu et al., 2010) and Sequential LDA (Du et al., 2012) with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.
How to cite:
Kohei Watanabe (2020). seededlda: Seeded Sequential LDA for Topic Modeling. R package version 1.2.1, https://cran.r-project.org/web/packages/seededlda
Previous versions and publish date:
0.5.1 (2020-12-17 09:50), 0.5 (2020-09-10 11:00), 0.6.0 (2021-04-08 07:00), 0.8.0 (2022-01-07 12:50), 0.8.1 (2022-03-28 14:00), 0.8.2 (2022-10-09 15:10), 0.8.3 (2023-03-17 14:20), 0.8.4 (2023-03-23 13:20), 0.9.0 (2023-04-30 16:10), 0.9.1 (2023-05-01 16:20), 1.0.0 (2023-05-31 06:20), 1.0.1 (2023-06-12 14:20), 1.1.0 (2023-07-01 06:00), 1.2.0 (2024-04-10 08:50)
Other packages that cited seededlda R package
View seededlda citation profile
Other R packages that seededlda depends, imports, suggests or enhances
Functions, R codes and Examples using the seededlda R package
Some associated functions: data_corpus_moviereviews . divergence . print.textmodel_lda . sizes . terms . textmodel_lda . textmodel_seededlda . textmodel_seqlda . topics . 
Some associated R codes: RcppExports.R . catch-routine-registration.R . data.R . lda.R . predict.R . seededlda.R . seqlda.R . utils.R .  Full seededlda package functions and examples
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