Scraping Wikipedia w/ SPARQL & DBPedia | Shipping good Python code w/ DeepSource

[UPDATE] We also have Shubhendra giving a lightning talk about "Shipping good Python code using DeepSource"

Nabanita Roy is back this month to talk about "Scraping Wikipedia using SPARQL and DBPedia".

Join us at our livestream of the event, bring your biccies and tea (or coffee) and live chat with everyone.

📢 If you have any announcements or questions, you can email us at dublin@pyLadies.com
Announcements will be added to https://cryptpad.fr/pad/#/2/pad/view/fg2A4DicdVIzw9lCH-5wXAwiicODVHrGpUt-q9D2W+I/

==TALK==
Title: Scraping Wikipedia using SPARQL and DBPedia by Nabanita Roy

Description: Wikipedia is a great platform for creating rich datasets, especially for NLP use-cases. The crowd-sourced information of Wikipedia is stored in a semantically structured database called the DBpedia. In this demo, I will talk about how to build a corpus of Wikipedia contents by using SPARQL to query DBPedia. I will introduce the concepts of Linked Data and RDF Graphs as well to set the context of the work.

About Nabanita Roy:
I am a Data Scientist at ACI Worldwide. I love tinkering with data using Python. Find me on LinkedIn here - https://www.linkedin.com/in/nabanita-roy/