This workflows shows a simple example on how to lemmatize terms in documents using the Stanford Lemmatizer node and also to show what exactly the Lemmatizer does to the input document terms, in comparison to other preprocessing nodes, for example the Snowball Stemmer.
EXAMPLES Server: 08_Other_Analytics_Types/01_Text_Processing/11_Lemmatizer_Preprocessing08_Other_Analytics_Types/01_Text_Processing/11_Lemmatizer_Preprocessing*
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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