This workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and transform them into numerical document vectors consisting of single word and 2-gram features. Finally two predictive models are trained on the vectors to predict the sentiment class of the documents. The two models are then compared via a ROC curve.
Used extensions & nodes
Created with KNIME Analytics Platform version 3.5.3
Loading ad hoc executions
By using or downloading the workflow, you agree to our terms and conditions.
Discussions are currently not available, please try again later.