Stanford Lemmatizer

Lemmatizes terms contained in the input documents with the Stanford Core NLP library. For details about the Stanford Core NLP library, please check here.

This node returns the lemma of a term by removing inflections, e.g in case of plurals, pronoun case, and verb endings. The lemma is based heavily on the Part-Of-Speech (POS) tag of a term, so either the Stanford tagger node or the POS tagger node has to be applied before using the Lemmatizer. If more than one POS tag is found for one term, only the first one will be taken into consideration. Moreover, terms with no POS tag will be skipped by default.

Currently only english language is supported by this node.

Options

Lemmatizer options

Node should fail when terms with no POS tag are found

If checked, the node will fail when at least one term has no POS tag. Otherwise, all terms that have no POS tag will simply be skipped.

Preprocessing options

Document column

The column containing the documents to preprocess.

Replace column

If checked, the document column will be replaced by the new preprocessed documents. Otherwise the preprocessed documents will be appended as a new column.

Append column

The name of the new appended column, containing the preprocessed documents.

Ignore unmodifiable tag

If checked, unmodifiable terms will be preprocessed too.

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Workflows

• 01_Document_clusteringKNIME Hub
• 01_Document_clusteringKNIME Hub
• 01_Emil_the_TeacherBotKNIME Hub
• 01_Initial_Model_TrainingKNIME Hub
• 02_AL_First_Try_Assign_Classes_via_DistanceKNIME Hub
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