Document Similarity Learner

The Document Similarity Learner develops a model for identifying a new documents most similar matches from an existing corpus of documents. It consumes already processed documents (refer to Document Preprocessing Component) as input and provides as output both the corpus of documents and a model for use with the Document Similarity Predictor Component.

Input ports

1. Type: Table
   Preprocessed Documents
   Documents which have already been preprocessed (via Document Preprocessing).

Output ports

1. Type: Table
   Corpus of Documents
   The reference corpus of documents for future comparison with new documents.
2. Type: DocumentVectorPortObject
   Document Vector Model
   Model for creating document vectors on new documents in the appropriate, compatible format.