Learn how to apply doc2vec in R on your text in this pdf presentation available at https://www.bnosac.be/index.php/blog/103-doc2vec-in-R. Where we focus on our R package doc2vec available at https://github.com/bnosac/doc2vec You can view the prese... [Read more...]

An update of the udpipe R package (https://bnosac.github.io/udpipe/en) landed safely on CRAN last week. Originally the udpipe R package was put on CRAN in 2017 wrapping the UDPipe (v1.2 C++) tokeniser/lemmatiser/parts of speech tagger and dependency pa... [Read more...]

Finally, the R package you all have been waiting for has arrived - image.ContourDetector developed at https://github.com/bnosac/image. It detects contour lines in images alongside the 'Unsupervised Smooth Contour Detection' algorithm available at http://www.ipol.im/pub/art/2016/175. Have you always wanted to be able ... [Read more...]

Learn how to apply word2vec in R on your text in this pdf presentation available at http://bnosac.be/index.php/blog/100-word2vec-in-R. Where we focus on our R package word2vec available at https://github.com/bnosac/word2vec You can view the presentatio... [Read more...]

A few weeks ago, we pushed R package textplot to CRAN and it was accepted for release last week. The package contains straightforward functionalities for the visualisation of text, namely of  text cooccurences text clusters (in casu biterm clusters) dependency parsing results text correlations and text frequencies Some examples of ... [Read more...]

A few weeks ago, we published an update of the BTM (Biterm Topic Models for text) package on CRAN. Biterm Topic Models are especially usefull if you want to find topics in collections of short texts. Short texts are typically a twitter message, a short answer on a survey, the ... [Read more...]

I lost a few hours this afternoon when digging into the Corona virus data mainly caused by reading this article at this website which gives a nice view on how to be aware of potential issues which can arise when collecting data and to be aware of hidden factors and ... [Read more...]

Next week we will hold our yearly course on Advanced R programming at LStat, Leuven. If you are interested in learning one of the following techniques, don't hesitate to subscribe at https://lstat.kuleuven.be/training/coursedescriptions/AdvancedprogramminginR.html Functions, the apply family of functions, parallelisation, advanced data manipulation with ... [Read more...]

Last week, we updated package ruimtehol on CRAN. The package provides an easy interface for R users to Starspace which is a general purpose neural embedding model for text data. Notable changes are that the package now also builds fine on Mac OS and runs fine on all CRAN platforms. ... [Read more...]

I forgot to do some marketing for the following upcoming AI-related courses which will be given in Leuven, Belgium by BNOSAC 2019-10-17&18: Statistical Machine Learning with R: Subscribe here 2019-11-14&15: Text Mining with R: Subscribe here 2... [Read more...]

We have been blogging about udpipe several times now in the following posts: update of udpipe You did a sentiment analysis with tidytext but you forgot to do dependency parsing to answer WHY is something positive/negative udpipe version 0.7 for Natural Language Processing (#NLP) alongside #tidytext, #quanteda, #tm An overview ... [Read more...]

I'm happy to announce that the R package udpipe was updated recently on CRAN. CRAN now hosts version 0.8.3 of udpipe. The main features incorporated in the update include parallel NLP annotation across your CPU cores default models now use models trai... [Read more...]

Last week the R package ruimtehol was updated on CRAN giving R users who perform Natural Language Processing access to the possibility to Allow to do semi-supervised learning (learning where you have both text as labels but not always both of them on ... [Read more...]

Last call for the course on Text Mining with R, held next week in Leuven, Belgium on April 1-2. Viewing the course description as well as subscription can be done at https://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r Some things you'll learn ... is that King Filip of Belgium is similar ... [Read more...]

Doing human face detection with computer vision is probably something you do once unless you work for police departments, you work in the surveillance industry or for the Chinese government. In order to reduce the time you lose on that small exercise, bnosac created a small R package (source code ... [Read more...]

For people from Belgium working in R with spatial data, you can find excellent workshop material on creating thematic maps for Belgium at https://workshop.mhermans.net/thematic-maps-r/index.html by Maarten Hermans (researcher at the HIVA - Onderzoeksinstituut voor Arbeid en Samenleving - https://mhermans.net). The plots are ... [Read more...]

At BNOSAC, R is used a lot to perform text analytics as it is an excellent tool that provides anything a data scientist needs to perform data analysis on text in a business settings. For users unfamiliar with all the possibilities that the wealth of R ... [Read more...]

Last week the R package ruimtehol was released on CRAN (https://github.com/bnosac/ruimtehol) allowing R users to easily build and apply neural embedding models on text data. It wraps the 'StarSpace' library https://github.com/facebookresearch/StarSpace allowing users to calculate word, sentence, article, document, webpage, link and ... [Read more...]

A small note on the growing list of users of the udpipe R package. In the last month of 2018, we've updated the package on CRAN with some noticeable changes The default models which are now downloaded with the function udpipe_download_model are now models built on Universal Dependencies 2.3 (released ... [Read more...]

Our recent addition to the NLP R universe is called R package ruimtehol which is open sourced at https://github.com/bnosac/ruimtehol This R package is a wrapper around Starspace which provides a neural embedding model for doing the following on text: Text classification Learning word, sentence or document ... [Read more...]