Very fast and memory-friendly tools for text vectorization and learning word embeddings (GloVe). Also package provides source-agnostic streaming API, which allows to perform analysis of collections of documents, which are much larger the available RAM.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.2.0), methods |
| Imports: | Matrix (≥ 1.1), Rcpp (≥ 0.11), RcppParallel (≥ 4.3.14), digest (≥ 0.6.8), magrittr (≥ 1.5), stringr (≥ 1.0.0), iterators (≥ 1.0.8), readr (≥ 0.2.2) |
| LinkingTo: | Rcpp, RcppParallel, digest |
| Suggests: | testthat, knitr, rmarkdown, glmnet |
| Published: | 2016-01-10 |
| Author: | Dmitriy Selivanov [aut, cre] |
| Maintainer: | Dmitriy Selivanov <selivanov.dmitriy at gmail.com> |
| BugReports: | https://github.com/dselivanov/text2vec/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/dselivanov/text2vec |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make, C++11 |
| Materials: | README |
| CRAN checks: | text2vec results |
| Reference manual: | text2vec.pdf |
| Vignettes: |
GloVe word embeddings. Analyzing texts with text2vec package. |
| Package source: | text2vec_0.2.0.tar.gz |
| Windows binaries: | r-devel: text2vec_0.2.0.zip, r-release: text2vec_0.2.0.zip, r-oldrel: not available |
| OS X Snow Leopard binaries: | r-release: not available, r-oldrel: not available |
| OS X Mavericks binaries: | r-release: text2vec_0.2.0.tgz |