Customer Churn Prediction through Natural Language Processing

Dr. Hadi Amiri

Assistant Professor in the Department of Computer Science at the University of Massachusetts (UMASS)

Overview

User Generated Content (UGC), which can range from social media discussions to product reviews to private physician notes, present naturally occurring data that can be used to develop large-scale machine learning algorithms for effective processing of human language. In this talk, I will present directions toward building linguistically-aware and cognitively-motivated algorithms for prototypical problems that arise in the context of Business Intelligence. In particular, I will focus on the problem of Churn Prediction in social media… MORE>>

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