Topic: Machine learning
Anomaly Detection in eXperience Management | Response Count Time Series
Introduction Anomaly detection is an important business problem that allows identification of anomalous events and their subsequent analysis and remediation1. According to Hawkins an anomaly is an ...
By Grzegorz Chlebus
Intern Project: Creating a Global Search using Solr
The Internal Systems team at Qualtrics wants to provide our clients, fellow employees, with an easy way to search through data. This data is in many different formats and has various use cases. Fo...
By Ivan Zaitsev
Building a Customizable Platform for Sentiment Analysis
Overview On May 12th we launched a brand new Sentiment Analysis tool to the world as part of the Qualtrics Experience Management Platform. We know Sentiment is important for understanding unstructure...
By Martin Mumford
Teaching Machines to Read Emails: Feature Selection
In my previous post, I laid out the design for the ticket topic prediction model used at Qualtrics. This system sorts incoming support emails into different topics which are then used to route emails ...
By Zach McDonnell
Writing Emails with Machine Learning
Although I am currently a software engineer, I started at Qualtrics helping clients as a support representative. After a year of answering hundreds of phone calls and writing thousands of em...
By Zach McDonnell