TITLE

NLP Approaches to Campaign Classification
 

ABSTRACT

Mailchimp is the world's largest marketing automation platform. Over a billion emails are sent by it every day, which raises the question: what exactly are users sending? We'll do a deep dive into the natural language processing techniques utilized by Mailchimp to make sense of users' content and classify campaigns, whether it's for predicting a customer's business vertical, or for preventing those with malicious intent from using the platform.

BIO

Muhammed Ahmed is a Junior Data Scientist at Mailchimp. He graduated from the University of Georgia with a degree in Computer Science and a certificate in Applied Data Science. Muhammed specializes in natural language processing and has implemented several deep transformer models (ELMo, BERT, XLNet, RoBERTa) for the text classification task. His models are used for spam detection, business vertical classification, and support ticket classification.