Winner of Balon d’Or analyzed in 2 minutes

In the previous post I showed some new nodes based on R that can be installed in IBM SPSS Modeler. It takes 2 minutes to get the CSV with the results of the votes of Balon d’Or (that Cristiano Ronaldo won for 3rd time) and build a stream like the one below and get a word cloud, a pie chart in the form of iFrame easily shareable and a HTML table also in the form of iFrame. SImple analysis, but quite interesting, easy to share and easy to perform!


The hashtag analyzed to create this wordcloud is #BalonDor2014, based on 10,000 tweets:

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Analysis of #CharlieHebdo sentiment with SPSS

With the horrible attack in Paris  in the Charlie Hebdo office, we are experiencing once more a new way to be informed about last news, this time powered by Twitter. It is amazing how fast people are sharing thoughts, photos, links, and absolutely everything. It thus becomes the data set of the world population’s mind in real time.

In this post I am going to show how to query tweets and do some simple analysis using IBM SPSS Modeler and the new SPSS Predictive Extensions based on R. All this analysis…without any coding at all!  We are going to do 3 things:

– Create a Word Cloud with a new WordCloud node based on the R wordcloud package.

– Integration of RCharts with IBM SPSS Modeler. RCharts (developed by Ramnath Vaidyanathan) was born as the initiative to bring powerful JavaScript visualization for R users. So they can now create these interactive charts without having JavaScript skills, only with R. With this integration within SPSS workbench, you don’t even need to know R in order to use them. Simply drag and drop the node and start getting powerful results that are easy to share. These are the libraries available now in IBM SPSS Modeler:

-Integration with the new R package HTMLWidgets. This package enable you to add new types of HTML output to R Markdown documents. There are different types of widgets like maps, charts, 3D scatterplots and more.


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