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When

1:00 PM - 2:00 PM



DSF Lunch & Learn – Real-time Chat Moderation using Deep Transformer Networks.

1:00 pm-
2:00 pm
July 30th , 2020, Thursday
Location:
Type:

Please join us for Session #10 in our Webinar Series. In this talk, we will explore Real-time Chat Moderation using Deep Transformer Networks. Every Thursday join DSF to hear from one of our weekly featured speakers.

Join us virtually this week in partnership with Oduwa Edo-Osagie and Leo Rickayzen, Data Scientists at Depop.

We aim to share, inspire & bring the data community together to build your industry network & have some exciting interactions with your fellow peers.

Ticket Allocation Process:
Registering here guarantees you a ticket for the Data Science Festival Event with Oduwa and Leo on July 30th 2020. Once registered you will be sent your Zoom Link via email.

Registration Link:  https://us02web.zoom.us/webinar/register/WN_XW9t9s7ZRa-IqdSwU_J-MA

SCHEDULE

Intro with David Loughlan – Founder of DSF and Data Idols

Speakers: Oduwa Edo-Osagie and Leo Rickayzen – Data Scientists at Depop.

Talk Title: Real-time Chat Moderation using Deep Transformer Networks.

Talk Summary: Moderation is an important aspect of any social platform in order to keep users safe and maintain their trust in the platform. At Depop, one of the ways we do this is by protecting our users from being scammed on our digital marketplace. In order to do this, we need to be able to quickly detect and react to scammers coaxing users off-site to take advantage of them. This talk will present our approach to solving this problem, diving into the architecture of the deep transformer network we employ, along with its implementation, evaluation and interesting productionisation details.

Community Q&A

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Leo Rickayzen
Depop
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Bio: Leo is a Data Scientist at Depop, the fashion marketplace where the next generation buy, sell and get inspired. For the last year he's been working as part of the Trust & Safety team to help keep our community of over 20 million users safe. He's interested in Trust…
Oduwa Edo-Osagie
Depop
VIEW BIO
Bio: Oduwa is a data scientist working in Trust and Safety at Depop. Previously, he completed a PhD in machine learning for social media mining at the University of East Anglia. During that time he carried out research projects with Public Health England in Birmingham and the Alan Turing Institute…