BNOSAC provides +20 years of expertise in statistical modelling, data science, text mining, web scraping, biostatistics, statistical web development and integration services regarding data analytics and ai.
Supporting all facets of the usage of data analytics at the enterprise.
From adhoc analysis to tailor made & integrated solutions.
We help set up the best working conditions for data scientists, get them up to speed with training and provide solutions to speed up deployment.
Design → Build → Automate → Deploy
Reliable, self-maintainable development environments and web application hosting
Study design, biostatistics and applied statistics and machine learning for clinical, industrial and social-science data.
Audio handling, transcriptions and structured data extraction from transcripts. Agentic voice apps.
R support
Geostatistics and spatial modelling for environmental, agricultural and location-based decision problems.
Design / Implement / Deploy
Turning unstructured text — documents, tickets, reviews — into structured, actionable signal.
Automate all the things
Reliable, maintainable data collection pipelines from web and public sources.
From R/Python fundamentals to building and deploying production packages. We get teams up to speed with practical, in-house R training — tuned to the skill level in the room and the problems your organisation actually has.
anonymize and pseudonymize health care text records
Project blackbar has been set up for hospitals which need to anonymize and/or pseudonymize their text records in order to comply with the GDPR regulation or to be able to share the information in the texts with researchers, external collaborators or third parties without disclosing the personally sensitive information and still being able to share the clinically relevant information.
Enterprise store for R objects.
A central, versioned repository for datasets and statistical models across an organisation. Dokstok is an tool which allows you to store your R models and any R object inside a PostgreSQL database such that these can be easily reused inside the organisation. Storing models inside a database allows you to easily have backup procedures, to trace changes to models while allowing everyone to share the models and to use the models while doing integrated predictive modelling.
Open Source develoments
BNOSAC is an avid contributor to open source initiatives. Without open source, we would not be able to do what we currently do. We have more than 30 packages on CRAN and many more on github. We created Python packages which are published on pypi and provide local community support.
Last week, OpenAI released version 2 of an updated neural net called Whisper that approaches human level robustness and accuracy on speech recognition. You can now directly call from R a C/C++ inference engine which allow you to transcribe .wav audio files. To allow to easily do this in R, BNOSAC created an R wrapper around the whisper.cpp code. This R package is available at https //github.com/bnosac/audio.whisper and can be installed as follows.
This week, I uploaded a newer version of the R package recogito to CRAN. The recogito R package provides tools to manipulate and annotate images and text in shiny. It is a htmlwidgets R wrapper around the excellent recogito-js and annotorious javascript libraries as well as it's integration with openseadragon.You can use the package to set up shiny apps which annotate areas of interest (rectangles / polygons) in images with specific labels
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 presentation below. NEW, since 2020, you can now access courses Text Mining with R and Advanced R programming online through our online school, let us know here if you want to obtain access.