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"How does Sentiment Analysis accelerator creates continuous variables?"
For my MSc Thesis I am delving deeper in predition analysis. I know that Rapidminer has an accelerator for Sentiment Analysis, but I am wondering how they create the scores. If I understand well, a SVM is used on the dataset that you enter. However, the result of a SVM was to create a hyperplane that seperates points +1 from -1 right? So how are the continuous variables in the accelerator created then, and are they actually valid?