How do you explain text mining in 3 hours? Is it even possible? Can someone be ready to build predictive models and perform clustering in a single afternoon?
It seems so, especially when Orange is involved.
Yesterday, on August 7, we held a 3-hour workshop on text mining and text analysis for a large crowd of esteemed researchers at Digital Humanities 2017 in Montreal, Canada. Surely, after 3 hours everyone was exhausted, both the audience and the lecturers. But at the same time, everyone was also excited. The audience about the possibilities Orange offers for their future projects and the lecturers about the fantastic participants who even during the workshop were already experimenting with their own data.
The biggest challenge was presenting the inner workings of algorithms to a predominantly non-computer science crowd. Luckily, we had Tree Viewer and Nomogram to help us explain Classification Tree and Logistic Regression! Everything is much easier with vizualizations.
At the end, we were experimenting with explorative data analysis, where we had Hierarchical Clustering, Corpus Viewer, Image Viewer and Geo Map opened at the same time. This is how a researcher can interactively explore the dendrogram, read the documents from selected clusters, observe the corresponding images and locate them on a map.
The workshop was a nice kick-off to an exciting week full of interesting lectures and presentations at Digital Humanities 2017 conference. So much to learn and see!