Introduction to Named Entity Recognition using Azure Language

Have you ever wondered how you can extract entities from unstructured text documents? Many modern applications, like processing of resumes, optimization of search engines and content recommendation rely on this technology to work properly!
During the session, you will have the chance to learn more about Named Entity Recognition (NER) and you will build your own Custom NER solution, using the Azure Language Service, in order to extract entities such as dates, numeric values and names from text documents.

Konstantinos Kyriakos Sitistas

Konstantinos Kyriakos Sitistas

Microsoft Learn Student Ambassador - Electrical & Computer Engineering Student

Other sessions from: Global AI Student Conference December 2022

Towards Responsible AI

Towards Responsible AI

When we talk about AI, we usually mean a machine learning model that is...

Luis Beltran Luis Beltran
Data Science and AI in Africa: The Impact of Communities

Data Science and AI in Africa: The Impact of Communities

In recent times, Data Science and AI is growing drastically within African...

Frank-Felix Felix Frank-Felix Felix
AI in Tracking Air Quality

AI in Tracking Air Quality

The session will showcase a Nairobi-based project using AI to track air...

Sifa Kinoti Sifa Kinoti
iShare Donation Platform

iShare Donation Platform

The best way is to adopt the idea of the sharing economy and decentralize ...

Jerry Lee Jerry Lee
Andy Lum Andy Lum
Hok Lai Liu Hok Lai Liu
Automating my Dog with Azure Cognitive Services

Automating my Dog with Azure Cognitive Services

Like many terrier owners, I have a problem. My dog is overworked from the...

Matt Eland Matt Eland
AI-voice-assistant-using-python

AI-voice-assistant-using-python

This session will explain how to build a voice assistant that will recog...

Anaam Sayeda Anaam Sayeda