RapidMiner Text Mining Resources

Just some Text Mining resources in RapidMiner that I found cool, helpful, and interesting. This list will be updated as I find more links.

  • Using NLTK and Text Blob python packages
  • Fix spelling mistakes using Text Blog python package
  • Splitting text into sentences inside RapidMiner
  • Building a dictionary based sentiment model in RapidMiner
  • Text processing customer reviews using the Aylien extension

Bubble Grid vs Choropleth in R

Title: Bubble Grid vs Choropleth in R
Date: 2018-07-10 15:00
Slug: bubble-grid-vs-choropleth-r
Tags: R, Data Visualization
Twitter: neuralmarket
Author: Thomas Ott

I’ve always had a love/hate relationship with R but ever since I generated a Word Cloud using RapidMiner and R, I’ve come to like it’s visualization capabilities.

I stumbled across this recently written article by Jonas Schöley over at his blog jschoeley.github.io and found some really need Data Visualizations in R and code examples. The one using Bubble Grid vs Choropleth maps caught my eye. Check it out, it has ready to go R code.

Word Clouds in RapidMiner and R

There was a question from the RapidMiner Community on how to make a word clouds in RapidMiner using R. It’s really easy.

First you’ll need to make sure you have the Execute R extension installed and configured, then you need to download the “wordcloud” and “RColorBrewer” packages from R Cran Repository.


Finally, grab this sample XML and pop it in your RapidMiner Studio. Note: I saved the image to my desktop, you’ll have to repath it to where you want to save the PNG.

Word Clouds in RapidMiner