Sentiment Analysis (Classification) of Documents with NGram Features

Workflow preview
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.
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