This workflow preprocesses a batch of airline reviews and tags their words as positive, negative, or neutral. Next, it calculates a sentiment score based on the frequency of positive and negative words in a review, and then determines whether a review is positive or negative based on its sentiment score. At the end of the workflow, the performance of this simple, tag-based sentiment classifier is assessed.
Workflow
01.Capturing Segments - Sentiment Predictor - Lexicon Based - Exercise
Used extensions & nodes
Created with KNIME Analytics Platform version 5.4.0
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