LSX: Model for Semisupervised Text Analysis Based on Word Embeddings

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.

Getting started

Package details

AuthorKohei Watanabe [aut, cre, cph]
MaintainerKohei Watanabe <watanabe.kohei@gmail.com>
LicenseGPL-3
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("LSX")

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LSX documentation built on July 20, 2021, 9:06 a.m.