Generic framework and server backend allowing multiple instances to be set up. Flexible Class and Interaction set up and administration.
Generic framework and backend having the ability to spin up multiple instances. Flexible Class set up and administration. Offered as a Subscription Service or as a behind the firewall deployment.
With the volume of data generated by businesses today, machine learning software is necessary to be able to handle the sheer volume of data. In this document, we demonstrate that a single classifier on obscenity would have detected a behavioral change in the language used by the Enron corporation in emails over the year leading up to the company’s dissolution.
This case study illustrates a proof-of-concept constellation of two classifiers (military service and suicidal language) that are jointly applied to the same text samples. The ability of the Zenti system to distinguish between the language patterns indicates clear separation in the language scoring between these two constructs
by Steven Cracknell and Ben Cannon
This paper proposes a structure for a Risk Matrix of language associated with suicidal behaviors. The purpose of our Risk Matrix is to (1) understand the broader picture of suicide risk, (2) acknowledge that there are many risk factors that influence suicide, and (3) to prioritize that combind risk factors can lead to the greatest risk (Kessler, Borges, & Walters, 1999). The outline can provide the basis for training new classifiers using Zenti’s system.
This document illustrates a proof-of-concept classifier prototype that can identify suicidal language amongst Twitter users, and an ability to retrieve and score an at-risk person’s Twitter history to establish whether there is a pattern of at-risk language indicating suicidal tendencies. We highlight one specific example of a Twitter profile that had a strong pattern of language indicating suicidal tendencies, and look to understand how such identification can be transitioned to intervention.
by Steven Cracknell and Antonia Czinger
This case study illustrates the use of a constellation of classifiers, a snapshot of a proof-of-concept classifier designed by the Zenti team, and a summary of background research, which will serve as a starting point for further classifier development.
by Karoline Pershell
This document illustrates one use case for a constellation of classifiers, identifying specific examples of classifier constructs and detailing how an end user would interact and take action on such data.
by Steven Cracknell and Karoline Pershell
This document discusses the complexities of Arabic dialects, and discusses a strategy for building a constellation of meaningful classifiers that would aid in countering violent extremism.