Model for Semisupervised Text Analysis Based on Word Embeddings
A word embeddings-based semisupervised models for document scaling Watanabe (2017) <doi:10.1177/0267323117695735>.
LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove).

A word embeddings-based semisupervised models for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>.
LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove).
stringi, digest, Matrix, RSpectra, irlba, rsvd, rsparse,
proxyC, grDevices, stats, ggplot2, ggrepel, reshape2, e1071,
locfit

A word embeddings-based semisupervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>.
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.
quanteda (>= 2.0), quanteda.textmodels, quanteda.textstats,
stringi, digest, Matrix, RSpectra, irlba, rsvd, rsparse,
proxyC, grDevices, stats, ggplot2, ggrepel, reshape2, e1071,
locfit

quanteda (>= 2.0), quanteda.textstats, stringi, digest,
Matrix, RSpectra, irlba, rsvd, rsparse, proxyC, grDevices,
stats, ggplot2, ggrepel, reshape2, e1071, locfit

quanteda (>= 2.0), quanteda.textstats, stringi, digest,
Matrix, RSpectra, irlba, rsvd, rsparse, proxyC, stats, ggplot2,
ggrepel, reshape2, locfit

Semisupervised Document Scaling by Word-Embedding Models

Semisupervised Document Scaling with Word-Embedding Models

Functions to Replicate the Center for Disease Control and
Prevention's 'LTAS' Software in R
person("Stephen", "Bertke", , "nioshltas@cdc.gov", role = c("aut", "cre"))
A suite of functions for reading in a rate file in XML format,
stratify a cohort, and calculate 'SMRs' from the stratified cohort and rate file.
dplyr, knitr, lubridate, magrittr, purrr, readr, rlang,
stringr, tidyr, XML, zoo