koheiw/LSS: Semi-Supervised Algorithm for Document Scaling

A word embeddings-based semi-supervised 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.

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.4.0
URL https://koheiw.github.io/LSX/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("koheiw/LSS")
koheiw/LSS documentation built on March 9, 2024, 4:41 a.m.