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Use spacy for NLP tasks in RapidMiner
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Not a question, but I simply wanted to share an example process that leverages a few marketplace extensions. In the tutorial below, I use the python scripting operator to leverage the absolutely fantastic spacy NLP library from python, parse the document vectors for a dataset we read from the web, and compare two models, one of which is from the Deep Learning extension.
Moreover, I highlight a use of the Cache operator from Operator Toolbox to help with performance (while building your process) and the use of a Subprocess operator to help organize the work.
https://brocktibert.medium.com/using-spacy-in-rapidminer-40b3d222c96d
The github repo with the environment I am using and the process:
https://github.com/Btibert3/rapidminer-examples
Hope this helps someone who is looking to explore these features in RM.
Moreover, I highlight a use of the Cache operator from Operator Toolbox to help with performance (while building your process) and the use of a Subprocess operator to help organize the work.
https://brocktibert.medium.com/using-spacy-in-rapidminer-40b3d222c96d
The github repo with the environment I am using and the process:
https://github.com/Btibert3/rapidminer-examples
Hope this helps someone who is looking to explore these features in RM.
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