Introducing text2vec 0.4 Today I’m pleased to announce new major release of text2vec - text2vec 0.4 which is already on CRAN. For those readers who is not familiar with text2vec - it is an R package which provides an efficient framework with a concise API for text ... [Read more...]

Today I’m pleased to announce preview of the new version of text2vec. It is located in the 0.3 development branch, but very soon (probably in about a week) it will be merged into master. To reproduce examples below, please install [email protected] from github:

<span>devtools</span><span>::</span><span>install_github</span><span>(</span><span>'dselivanov/[email protected]'</span><span>)</span>

Also I’m waiting ... [Read more...]

Before reading this post, I very recommend to read: Orignal GloVe paper Jon Gauthier’s post, which provides detailed explanation of python implementation. This post helps me a lot with C++ implementation. Word embedding After Tomas Mikolov et al. released word2vec tool, there was a boom of articles about ... [Read more...]

Today I will start to publish series of posts about experiments on english wikipedia. As I said before, text2vec is inspired by gensim - well designed and quite efficient python library for topic modeling and related NLP tasks. Also I found very useful Radim’s posts, where he tried ... [Read more...]

In the last weeks I have actively worked on text2vec (formerly tmlite) - R package, which provides tools for fast text vectorization and state-of-the art word embeddings. This project is an experiment for me - what can a single person do in a particular area? After these hard weeks, ... [Read more...]

Introduction In the next series of posts I will try to explain base concepts Locality Sensitive Hashing technique. Note, that I will try to follow general functional programming style. So I will use R’s Higher-Order Functions instead of traditional R’s *apply functions family (I suppose this post will ... [Read more...]