The Approximate Phrase Index Matcher node compares each phrase in the Comparison
Table to phrases stored in a prebuilt Index Object (from Phrase Indexer).
It uses exorbyte’s deterministic, subword-aware engine to compute fuzzy similarity over
multi-word strings.
Optionally, an Alias Object can expand the search with synonymous, canonical, or normalized
forms (e.g., "NYC" ⇄ "New York City"), improving recall without sacrificing determinism.
This node is suited for entity normalization, product/title matching, review/snippet
clustering, and duplicate detection. It can emit scores, alignment sequences, hit coverage,
and best-match candidates, and it can filter rows by threshold.
This node may only be used for private and non-commercial purposes. Commercial use
requires a valid license from exorbyte GmbH. All rights reserved.
For more information contact
consulting@exorbyte.com.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
To use this node in KNIME, install the extension exorbyte matchmaker toolbox from the below update site following our NodePit Product and Node Installation Guide:
A zipped version of the software site can be downloaded here.
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!