This category contains 14 nodes.
The node converts all tokens to their root form (lemma), removing cases, plurals, conjugations, etc.
The node converts all tokens to their root form (lemma), removing cases, plurals, conjugations, etc.
The node allows to select and load a spaCy model.
The node performs morphology analysis of the text and assigns the tags for singular/plural, gender, case, conjugation, animacy, etc. for the tokens.
The node performs morphology analysis of the text and assigns the tags for singular/plural, gender, case, conjugation, animacy, etc. for the tokens.
The node assigns named entity tags to the words of the document.
The node assigns recognized named entities in the document. Generalized spaCy NE tag set is used.
The node assigns part of speech to each token of the document.
The node assigns part of speech to each token of the document.
The node filters out words that are identified as stop words by the provided spaCy model.
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