Named Entity Recognition is a key concept in Natural Language Processing. This technique used to identify Person, Places and Locations from the free text words. In Azure Machine Learning (Classical), Named Entity Recognition control can be used to detect entities.
You can download the experiment at https://gallery.azure.ai/Experiment/Named-Entity-Recognition-News that shows how to use Named Entity Recognition in Azure Machine Learning.
This experiment has used news content from six sources and finally, it has separated the news items that discuss Person, Organization and Location separately. This experiment has used many controls such as Join Data, Select Columns in Data Sets, Clean Missing Data, Execute Python Script, Split Data etc.
If you wish to learn more on Azure Machine Learning, refer to the ongoing article series at SQLShack.com
Introduction to Azure Machine Learning using Azure ML Studio
Data Cleansing in Azure Machine Learning
Prediction in Azure Machine Learning
Feature Selection in Azure Machine Learning
Data Reduction Technique: Principal Component Analysis in Azure Machine Learning
Prediction with Regression in Azure Machine Learning
Prediction with Classification in Azure Machine Learning
Comparing models in Azure Machine Learning
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