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LSX  

Semi-Supervised Algorithm for Document Scaling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LSX", "1.4.0")



Attach the package and use:
library("LSX")
Maintained by
Kohei Watanabe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-09
Latest Update: 2023-02-26
Description:
A word embeddings-based semi-supervised model for document scaling Watanabe (2020) . LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.
How to cite:
Kohei Watanabe (2020). LSX: Semi-Supervised Algorithm for Document Scaling. R package version 1.4.0, https://cran.r-project.org/web/packages/LSX. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.9.0 (2020-09-09 12:10), 0.9.1 (2020-09-14 23:10), 0.9.2 (2020-09-22 13:20), 0.9.4 (2020-11-02 06:30), 0.9.5 (2020-11-20 07:40), 0.9.6 (2020-12-17 17:30), 0.9.7 (2021-03-08 13:50), 0.9.8 (2021-03-22 23:30), 0.9.9 (2021-04-19 11:30), 1.0.0 (2021-07-20 07:00), 1.0.2 (2021-09-18 10:00), 1.1.0 (2022-02-24 12:50), 1.1.1 (2022-02-26 08:30), 1.1.2 (2022-10-02 18:30), 1.1.3 (2022-10-19 08:37), 1.2.0 (2022-12-04 12:22), 1.3.0 (2023-01-22 02:00), 1.3.1 (2023-02-26 04:22), 1.3.2 (2023-12-20 23:20)
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