Streaming Sentiment Classification

This workflow demonstrates how to use the KNIME Simple Streaming executor. 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. Finally a predictive model is trained on the vectors to predict the sentiment class of the documents.

Streaming Sentiment Classification

 

Resources

EXAMPLES Server: 08_Other_Analytics_Types/01_Text_Processing/08_Streaming_Sentiment_Classification08_Other_Analytics_Types/01_Text_Processing/08_Streaming_Sentiment_Classification*
Download a zip-archive

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* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually