Sentiment Analysis (Classification) of Documents with NGram Features
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.
Workflow
Sentiment_Classification_with_NGrams
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 5.1.0
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