Named Entity Recognition 25.2
Named Entity Recognition User and Programming Guide

# Introduction

Post-processing performs additional processing on the matches that Named Entity Recognition finds.

A common use for post-processing is to validate matches. You can validate some entities, such as credit card numbers, by calculating a checksum. You can discard any matches with an invalid checksum, because even though it matches the correct format, it cannot be genuine. If a match has a valid checksum then you might increase its score, because it is likely to be valid.

Another common use for post-processing is to normalize the output from Named Entity Recognition. For example, if you extract monetary values, Named Entity Recognition might find matches that look like "£5.3 million" or "£25". You can use post-processing to normalize these values to "£5,300,000" and "£25", so that the Content component or another application can compare and sort the values correctly.

A Named Entity Recognition post-processing task runs a Lua script that you configure. Named Entity Recognition passes the matches it finds into a Lua function, either one at a time or all at once (en masse). See Write a Lua Script for Post-Processing.

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Version 25.2 | Last updated April 2025

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Product: Knowledge Discovery Named Entity Recognition 25.2

Topic Title: Introduction