Verified AI-driven stakeholder engagement: Researching and developing a sentiment analysis and data visualization platform

Many companies and organisations are required to engage in community engagement to gather stakeholder feedback. Yet, to date, there are key issues with current stakeholder engagement systems as they are inefficient, manual, and prone to error. The aim of this study is to investigate the current state of artificial intelligence and data visualization techniques with respect to engagement platforms. The goal is to demonstrate how natural language processing, information extraction, and text summarization can be used to improve the speed and accuracy of capturing public sentiment. The result will be a reduction in the time needed to manually review submissions, which can lead to shorter engagement periods for public and private organisations. Veras Technologies hopes to use this study to research and develop their engagement platform, which it can then offer to its clients. The intern, Curtis Engerdahl, hopes to use this project to advance his practical skills.

Faculty Supervisor:

Indratmo Indratmo

Student:

Partner:

Veras

Discipline:

Computer science

Sector:

Artificial Intelligence; Information and Communications Technology; Technology

University:

MacEwan University

Program: