May 26, 2018

Basic Named Entity Extraction algorithm

“Named entities” is the NLP jargon for proper nouns which represent people, places, organisations, and so on.

This module provides a very simple way of extracting these from a text. If we run the “extract_entities” routine on a piece of news coverage of recent UK political events, we should expect to see it return a list of hash references looking like this

entity => ‘Mr Howard’, class => ‘person’, scores => … , , entity => ‘Ministry of Defence’, class => ‘organisation’, … , entity => ‘Oxfordshire’, class => ‘place’, … ,

The additional “scores” hash reference in there breaks down the various possible classes for this entity in an open-ended scale.

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