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https://github.com/jonathanbratt/RBERTviz

Visualization tools to use with RBERT
https://github.com/jonathanbratt/RBERTviz

bert htmlwidgets natural-language-processing nlp rstats rstudio tensorflow

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Visualization tools to use with RBERT

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README

        

---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```

[![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)
[![Travis build status](https://travis-ci.org/jonathanbratt/RBERTviz.svg?branch=master)](https://travis-ci.org/jonathanbratt/RBERTviz)
[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/jonathanbratt/RBERTviz?branch=master&svg=true)](https://ci.appveyor.com/project/jonathanbratt/RBERTviz)
[![Codecov test coverage](https://codecov.io/gh/jonathanbratt/RBERTviz/branch/master/graph/badge.svg)](https://codecov.io/gh/jonathanbratt/RBERTviz?branch=master)

RBERTviz provides tools for convenient visualization of BERT models in the RBERT package.

## Installation

You can install RBERTviz from [GitHub](https://github.com/) with:

```{r installation, eval = FALSE}
# install.packages("devtools")
devtools::install_github(
"jonathanbratt/RBERTviz",
build_vignettes = TRUE
)
```

### RBERT Installation

RBERTviz is intended to be used alongside the RBERT package. See the installation instructions
in that [repository](https://github.com/jonathanbratt/RBERT).

## Basic usage

RBERTviz currently enables visualization of

1. the attention matrices for each attention head
2. the output vectors at each transformer layer

The attention visualizer is basically a wrapper around an earlier
version of the [transformer visualization tools](https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/visualization),
as adapted by [Jesse Vig](https://github.com/jessevig/bertviz/).

![Chicken](man/attention1.png) ![Road](man/attention2.png)

The output vector visualizer is a collection of routines for generating 2D PCA
plots of the layer outputs, which can be interpreted as context-dependent
embedding vectors.

![Train](man/embeddings_layers_animation.gif)

See the "Introduction to RBERTviz" vignette included with the package for more
detailed examples of usage.

## Disclaimer

This is not an officially supported Macmillan Learning product.

## Contact information

Questions or comments should be directed to Jonathan Bratt
([email protected]) and Jon Harmon ([email protected]).