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 allows to select a model from TensorFlow Hub or HuggingFace.
The node filters out words that are identified as stop words by the provided spaCy model.
Detects nearly convex structures from a 'probability image'. (Deprecation: Will be replaced in future release!).
The node converts String or Document data to the vectors (list of doubles) according to the embedder provided by the selected Spacy model.
The node converts a string column with raw text to a KNIME Document column using the tokenizer of the provided spaCy model.
The node converts all tokens to their root form (lemma), removing cases, plurals, conjugations, etc.
The node converts a string column with raw text to a Knime Document format, using its own tokenizer based on the selected spaCy model.
The node assigns recognized named entities in the document. Generalized spaCy NE tag set is used.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.