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.
Workflow
Sentiment Analysis (Classification) of Documents with NGram Features
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 3.5.3
- Go to item
- Go to item
- Go to item
- Go to item
- Go to item
- Go to item
Loading deployments
Loading ad hoc jobs
Legal
By using or downloading the workflow, you agree to our terms and conditions.