Blog Archives

upcoming AI-related courses

October 15, 2019
By

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 »

dependency parsing with udpipe

July 24, 2019
By
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 extraction techniques A comparison between spaCy and UDPipe for Natural Language Processing...

Read more »

update of udpipe

July 24, 2019
By
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 trai...

Read more »

Transfer learning and semi-supervised learning with ruimtehol

May 13, 2019
By

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 »

Koning Filip lijkt op …

March 26, 2019
By
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 open data from questions and answers in...

Read more »

Human Face Detection with R

March 22, 2019
By
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) which wraps the weights of a...

Read more »

Making thematic maps for Belgium

February 26, 2019
By
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 BelgiumMaps.Statbel - an R package from bnosac released 2 years ago (more info at...

Read more »

An overview of the NLP ecosystem in R (#nlproc #textasdata)

February 4, 2019
By
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 ...

Read more »

Neural Text Modelling with R package ruimtehol

January 15, 2019
By

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 'embeddings'. By using the 'embeddings', you can perform text based multi-label classification, find similarities between texts and...

Read more »

You did a sentiment analysis with tidytext but you forgot to do dependency parsing to answer WHY is something positive/negative

January 8, 2019
By
You did a sentiment analysis with tidytext but you forgot to do dependency parsing to answer WHY is something positive/negative

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 on 2018-11-15) This means udpipe now has models for 60 languages....

Read more »

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)