Redfield NLP Nodes
This category contains 8 nodes.
Spacy Lemmatizer
The node converts all tokens to their root form (lemma), removing cases, plurals, conjugations, etc.
Spacy Model Selector
The node allows to select and load a spaCy model.
Spacy Morphologizer
The node performs morphology analysis of the text and assigns the tags for singular/plural, gender, case, conjugation, animacy, etc. for the tokens.
Spacy NER
The node assigns named entity tags to the words of the document.
Spacy POS Tagger
The node assigns part of speech to each token of the document.
Spacy Stop Word Filter
The node filters out words that are identified as stop words by the provided spaCy model.
Spacy Tokenizer
The node converts a string column with raw text to a KNIME Document column using the tokenizer of the provided spaCy model.
Spacy Vectorizer
Maps String or Document data to a numerical vector (list of doubles) according to the embedder provided by the spaCy model.