The Document Similarity Predictor applies the model obtained by the Document Similarity Learner to a test document. It computes the cosine similarity between the original corpus of documents table and the test document.
An input table containing the original corpus with the related document vectors.
A model containing node settings as well as column names of the term feature space.
An input table containing the new test document.
A table containing the selected similar documents
Type: Flow Variable
A single variable set to the count of matching documents per input document
Created with KNIME Analytics Platform version 4.1.2