Currently, many of us are overwhelmed with mighty power of Deep Learning. We start to forget about humble graphical models. CRF is not so trendy as LSTM, but it is robust, reliable and worth noting.

In this post, you will find a short summary about CRF (aka Conditional Random Fields) – what is this thing, what is it for and some interesting facts. Enjoy!…

A few days ago I found out that there had appeared lda2vec (by Chris Moody) – a hybrid algorithm combining best ideas from well-known LDA (Latent Dirichlet Allocation) topic modeling algorithm and from a bit less well-known tool for language modeling named word2vec.

And now I’m going to tell you a tale about lda2vec and my attempts to try it and compare with simple LDA…

Recently, when I was attending AINL-ISMW FRUCT 2015 conference, I found out that Google open-sourced TensorFlow. That is cool, but may provoke some questions. Here, I try to answer some of them.

What is TensorFlow?

It is definitely…

Introduction

Any author would like to know if his/her article will be successful or not. Here is an attempt to deal with this task.

Data and tools

1. We obtained 5000 most significant articles (Analytic Bridge and Data Science Central) from here (…