Welcome to our latest virtual PyData Edinburgh! As in the case of the last one, we're keeping this into the 1-hour format, and we will have a main talk plus a Q&A session at the end. We will meet at 6pm, use the Zoom link which will be provided in the registration email once you RSVP.
As always, let us know if you would like to give a talk, whether a main or a lightning one, we're always looking out for speakers (as you know!).
Ben Batorsky
Ben is a freelance Data Scientist working across industries (government, infrastructure, health) to build data science capacity and create tools and models for business impact. He has extensive experience in the field of Natural Language Processing and the use of multi-modal datasets.
A common task in processing text data is to identify named subjects such as companies and products. This is referred to as Named Entity Recognition (NER). In this talk, I will provide an overview of model-based NER and focus on an application using the spaCy NLP library on a non-English text corpus. I will discuss how to structure data for this task and considerations when evaluating results.
LOGISTICS
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1755: Zoom Waiting room will open
1800: Meetup will start - welcome & community announcements followed by our main speaker, and then Q&A
We'll aim to be finished by 1900
REMOTE MEETINGS
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Please remember the Code of Conduct applies to a remote meeting as well.
When you join the meeting, your microphone will be muted, and your camera switched on, we miss you all, it's nice to see you! Once the talk starts, feel free to switch your camera off.
We'll use the chat channel in Zoom to deal with any issues, and we'll advise on how we will run the Q&A at the start of the session.
SPONSORS
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While we might not be making such full use of our sponsors as we normally do, we still appreciate all they do for us to allow us to run this group - so thanks to Cathcart Associates, Wood Mackenzie, Solarwinds, Lloyds Banking, Canon Medical and Effini.
CODE OF CONDUCT
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Though virtual, our Code of Conduct still applies to all attendees, organisers and speakers. Please take the time to read through if you haven't before, we really appreciate your help to maintain a welcoming and friendly PyData community.
The PyData Code of Conduct (https://pydata.org/code-of-conduct/) governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS using the link found at https://numfocus.org/code-of-conduct.
