Orange Blog

By: Ajda Pretnar Žagar, Mar 18, 2022

LDAvis: visualization for LDA topic modelling

Text add-on recently got extended with LDAvis widget, a visualization that enables exploring word frequencies in LDA-generated topics. See how to construct LDAvis pipeline in Orange.


By: Primož Godec, Feb 11, 2022

Editing the photographs collection with the help of machine learning

The core element of Orange's image analysis is embedding images in the vector space, which just became a feaster with our infrastructure upgrades. We use this opportunity to show possible ways of analyzing images through observing similar images and classifying them.


By: Ajda Pretnar Žagar, Feb 1, 2022

Machine Learning Jargon

Data scientists have a specific language. Learn about what certain terms mean and become more confident in your data science speak!


By: Ajda Pretnar, Jan 14, 2022

Orange in Classroom, pt. 2

Orange is being used inside and outside the classroom, by professors and students in over 300 universities around the world.


By: Marko Toplak, Jan 10, 2022

Compiling Orange 2 on modern Linux

How to compile an ancient version of Orange on Ubuntu 20.04 or how to spend a cold winter evening.


By: Ajda Pretnar, Dec 17, 2021

Visualizations 101

When to use certain visualization and how to read it?


By: Ajda Pretnar, Nov 26, 2021

Explainable AI Project Meeting

Orange will be used in two courses of the new Explainable AI Master's degree.


By: Blaž Zupan, Oct 21, 2021

Characterizing Clusters with a Box Plot

Box Plot widget offers a simple means for explaining clusters.


By: Ajda Pretnar, Sep 17, 2021

Semantic Analysis of Documents

How to use Text add-on to extract keywords from documents, score documents on keywords, and display semantic content in a map.


By: Ajda Pretnar, Sep 15, 2021

New in Orange: Support for CONLL-U files

Orange can now work with CONLL-U files, including its lemmas, POS tags, and named entities.