Fast and memory-friendly tools for text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), similarities. This package provides a source-agnostic streaming API, which allows researchers to perform analysis of collections of documents which are larger than available RAM. All core functions are parallelized to benefit from multicore machines.
| Version: | 0.5.1 |
| Depends: | R (≥ 3.2.0), methods |
| Imports: | Matrix (≥ 1.1), Rcpp (≥ 0.11), RcppParallel (≥ 4.3.14), digest (≥ 0.6.8), foreach (≥ 1.4.3), data.table (≥ 1.9.6), irlba (≥ 2.2.1), R6 (≥ 2.1.2), futile.logger (≥ 1.4.3), stringi (≥ 1.1.5), mlapi (≥ 0.1.0) |
| LinkingTo: | Rcpp, RcppParallel, digest, sparsepp (≥ 0.2.0) |
| Suggests: | doParallel, testthat, covr, knitr, rmarkdown, glmnet, parallel, tokenizers, magrittr |
| Published: | 2018-01-11 |
| Author: | Dmitriy Selivanov [aut, cre, cph], Qing Wang [aut, cph] (Author of the WaprLDA C++ code) |
| Maintainer: | Dmitriy Selivanov <selivanov.dmitriy at gmail.com> |
| BugReports: | https://github.com/dselivanov/text2vec/issues |
| License: | GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| URL: | http://text2vec.org |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make, C++11 |
| Materials: | README NEWS |
| In views: | NaturalLanguageProcessing |
| CRAN checks: | text2vec results |
| Reference manual: | text2vec.pdf |
| Vignettes: |
Advanced topics GloVe Word Embeddings Analyzing Texts with the text2vec Package |
| Package source: | text2vec_0.5.1.tar.gz |
| Windows binaries: | r-devel: text2vec_0.5.1.zip, r-release: text2vec_0.5.1.zip, r-oldrel: text2vec_0.5.1.zip |
| OS X El Capitan binaries: | r-release: text2vec_0.5.1.tgz |
| OS X Mavericks binaries: | r-oldrel: text2vec_0.5.0.tgz |
| Old sources: | text2vec archive |
| Reverse imports: | textmineR |
| Reverse suggests: | lime |
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