Artificial Intelligence / Semantic Similarity Project

Avondx developed a Voice Analytics solution to assist companies in enhancing Customer Engagement by monitoring Customer Service Agents (CSA) interaction with customers in the retail market. Avondx wants to improve its voice analytics solution that can determine the semantic similarity between many different phrases. We are looking for assistance with artificial intelligence and neural network that deals with natural language processing.

Avondx wants to add a feature to its voice analytics solution that will improve the “engagement capture rate” of their current product. Every day, Avondx must record and process many interactions. We call these interactions “engagements”. Avondx would like to use machine learning and neural networks to be able to tell if an engagement is (or is similar to) a start phrase (or end phrase) that a CSA might use with a customer.

Through the Mitacs program we are looking for a resource that can assist our software development team to build the Semantic Similarity function.

Faculty Supervisor:

Sandy Staples

Student:

Partner:

AvonDx Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Queen's University