Almost every day we go online we encounter recommender systems; if you are listening to your favorite song on Spotify, binge watching a TV show on Netflix or buying a new laptop on Amazon. Although we all know these recommendation engines exist, it is less known what algorithms lie behind such recommendations. To get a [...]

Do you recognize feeling frustrated about the looks of the standard Python graphs? Or you just need your corporate identity to be reflected in these graphs to be able to directly use them in a presentation? Well, I feel you! This is exactly the problem I ran into when happily working within my Python scripts […]

This blog is about getting corporate identity graphics ready in R using ggplot. Many corporates have decent identity Powerpoint decks and Excel templates available to work with, they might even have developed a PowerBI/Tableau template to fit their corporate identity. Yet, identity templates for R (or other languages used) are often not readily available. Marketing […]

How to uncover the predictive potential of textual data using topic modeling, word embedding, transfer learning and transformer models with R Textual data is everywhere: reviews, customer questions, log files, books, transcripts, news articles, files, interview reports … Yet, texts are still (too) little involved in answering analysis questions, in addition to available structured data. […]

In a sequence of articles we compare different NLP techniques to show you how we get valuable information from unstructured text. About a year ago we gathered reviews on Dutch restaurants. We were wondering whether 'the wisdom of the croud' - reviews from restaurant visitors - could be used to predict which restaurants are most [...]

In a sequence of articles we compare different NLP techniques to show you how we get valuable information from unstructured text. About a year ago we gathered reviews on Dutch restaurants. We were wondering whether 'the wisdom of the croud' - reviews from restaurant visitors - could be used to predict which restaurants are most [...]

n a sequence of articles we compare different NLP techniques to show you how we get valuable information from unstructured text. About a year ago we gathered reviews on Dutch restaurants. We were wondering whether 'the wisdom of the croud' - reviews from restaurant visitors - could be used to predict which restaurants are most [...]

Ever since we started to develop our Data Science off the Shelf (DOTS) products at Cmotions our usage of Azure SQL databases has increased significantly. Since we value the privacy of our customers, and of the customers of our customers, we strongly believe in privacy-by-design. For us, this also means we end up with quite […]

In a sequence of articles we compare different NLP techniques to show you how we get valuable information from unstructured text. About a year ago we gathered reviews on Dutch restaurants. We were wondering whether 'the wisdom of the croud' - reviews from restaurant visitors - could be used to predict which restaurants are most [...]