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.

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Package details

AuthorKohei Watanabe [aut, cre, cph]
MaintainerKohei Watanabe <>
Package repositoryView on CRAN
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LSX documentation built on July 20, 2021, 9:06 a.m.