title: "text2vec" author: "Dmitriy Selivanov" output: html_document: toc: false toc_float: false
You've just discovered text2vec!
text2vec is an R package which provides an efficient framework with a concise API for text analysis and natural language processing (NLP).
Goals which we aimed to achieve as a result of development of
See API section for details.
This package is efficient because it is carefully written in C++, which also means that text2vec is memory friendly. Some parts are fully parallelized using OpenMP.
Other emrassingly parallel tasks (such as vectorization) can use any fork-based parallel backend on UNIX-like machines. They can achieve near-linear scalability with the number of available cores.
Finally, a streaming API means that users do not have to load all the data into RAM.
The package has issue tracker on GitHub where I'm filing feature requests and notes for future work. Any ideas are appreciated.
Contributors are welcome. You can help by:
GPL (>= 2)
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.