Publications by Super User
Neural Text Modelling with R package ruimtehol
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 entity...
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An overview of the NLP ecosystem in R (#nlproc #textasdata)
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 packages offers regarding text analytics, we’ve made this small mindmap showing a list of tech...
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Making thematic maps for Belgium
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 heavily based on ...
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Human Face Detection with R
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 available at https://github.com/bnosac/image) whic...
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Koning Filip lijkt op …
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 to public expenses if we just look at...
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Transfer learning and semi-supervised learning with ruimtehol
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 the same document identifier. Allow to do transfer learning by passing on an embedding matrix (e...
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update of udpipe
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 trained on Universal Dependencies 2.4, allowing to do annotation in 64 languages, based on 94 tree...
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dependency parsing with udpipe
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 of keyword extracti...
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upcoming AI-related courses
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 2019-12-17&18: Applied Spatial Modelling with R: Subscribe here 2020-02-19&20: Advanced R programming: Su...
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Neural Network Machine Learning for NLP
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. If you are interested to see what the package can do, have a lo...
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