How To Detect Offensive Messages Using Deep Learning?

Detecting offensive messages using Deep Learning: A micro-service based approach

Presented By Pivotus Ventures
Pivotus Ventures
Pivotus Ventures
Ali Khatri & Alexander O'Connor
Ali Khatri, Machine Learning Engineer (Research) at Pivotus Ventures:
Ali's passions revolve around two things: using technology to solve real-world problems and sharing solutions with the community. He is currently a Machine Learning Engineer at Pivotus Ventures, a startup focussed on humanizing the banking experience. Outside of work, Alizishaan likes to balance his time between mountaineering, skiing, traveling & photography.

Alexander O'Connor, Director of Research at Pivotus Ventures:
Alexander O'Connor is Director of Research with Pivotus, a banking startup bringing human contact back to banking. At Pivotus, Alex is responsible for data wrangling and machine learning. Previously, he worked as a researcher and academic in universities in Dublin Ireland (DCU & Trinity College), where he worked on personalization and natural language processing.

Presentation Description

What are you doing to control abusive content on your platform? Can your current solution tell the difference between “f**king awesome” and “f**king loser”? Can it detect racist and sexist content?

You will learn how to build a deep learning based solution and deploy it as a micro-service.

Presentation Curriculum

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