I’m pleased to announce three new (assorted) extensions are available to download from the gallery for IBM SPSS Modeler.
We have a submission from our partner ESRI, the leading GIS provider – just pass in latitude/logitude values into the node to augment your dataset with the latest population, lifestyle, market, job and spending data from their Geoenrichment Service. Note that this integration requires an ArcGIS Online subscription, but you can register for a free evaluation here. Download the National Statistics with ESRI extension from the Gallery or on Github here.
We also have the first in a series of Alchemy extensions – The Sentiment Analysis with Alchemy extension uses the Alchemy Sentiment Analysis API to generate a simple determination of positive or negative sentiment on the record or document level unstructured data you pass in. Thanks to Yu Wen Pei for this one. Download the Sentiment Analysis with Alchemy extension on the Gallery or on Github here and watch for more Alchemy extensions to follow over the next couple of weeks.
And thirdly, another submission from an IBMer, Jonathan Langefeld. Creating simple moving averages over the last n periods can be a challenge in SPSS Modeler. Often used on financial data or similar data to reduce noise, indicate trends or compare moving averages over different periods, you can now generate them easily with this node. Just select your field with continuous data, specify the periods and a name for the new field to return the moving average (unweighted mean of the previous n data). Future commits might contain the possibility to select different kinds of moving averages like the exponential moving average or the weighted moving average. Feel free to fork and contribute on the git repository