Extracting Named Actors from Text: Using Named Entity Recognition (NER) in Peace and Conflict Studies - Demonstration

This repository contains 2 Jupyter notebooks to enable users to run spaCy's NER model to identify, extract and categorise named entities from text, and matching these recognised entities with the actor data PeaceRep have collected for the Peace Agreement Actor Dataset (PAA-X) (Badanjak and Henry, 2023) - an extension to the PA-X Peace Agreements Database.

Read the report "Extracting Named Actors from Text: Using Named Entity Recognition (NER) in Peace and Conflict Studies" to get an overview of the possible use cases, methods, applications and implications of using NER in peace and conflict studies.

Author: Niamh Henry, 2023

Code and data credits: Roy Gardner, Niamh Henry and Sanja Badanjak.