bmschmidt/wordVectors: Tools for creating and analyzing vector-space models of texts

wordVectors wraps Google's implementation in C for training word2vec models, and provides several R functions for exploratory data analysis of word2vec and other related models. These include import-export from the binary format, some useful linear algebra operations missing from R, and a streamlined syntax for working with models and performing vector arithmetic that make it easier to perform useful operations in a word-vector space.

Getting started

Package details

AuthorBen Schmidt, Jian Li
MaintainerBen Schmidt <[email protected]>
LicenseApache License (== 2.0)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
bmschmidt/wordVectors documentation built on May 12, 2019, 11:26 p.m.