Redfield NLP Nodes
This category contains 8 nodes.
BERT Embedder
BERT Embedder node calculates embeddings of the texts.
BERT Multi-label Classification Learner
The node uses BERT model and adds a predefined neural network on top.
Spacy Lemmatizer
The node converts all tokens to their root form (lemma), removing cases, plurals, conjugations, etc.
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 recognized named entities in the document. Generalized spaCy NE tag set is used.
Spacy POS Tagger
The node assigns part of speech to each token of the document.
Spacy Tokenizer
The node converts a string column with raw text to a Knime Document format, using its own tokenizer based on the selected spaCy model.
Spacy Vectorizer
The node converts String or Document data to the vectors (list of doubles) according to the embedder provided by the selected Spacy model.