Document Similarity Predictor

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.

Input ports

1. Type: Table
   Corpus of Documents
   An input table containing the original corpus with the related document vectors.
2. Type: DocumentVectorPortObject
   Document Vector Model
   A model containing node settings as well as column names of the term feature space.
3. Type: Table
   Test Document
   An input table containing the new test document.

Output ports

1. Type: Table
   Selected Similar Documents
   A table containing the selected similar documents
2. Type: Flow Variable
   Count of Most Similar Documents per Input Document
   A single variable set to the count of matching documents per input document