Using ML to improve UX and literacy for young poets

Power Poetry is the largest online platform for young poets, with over 350K users. Ann Nguyen explains how Power Poetry is extending the learning potential with machine learning and covers the technical elements of the Poetry Genome, a series of ML tools to analyze and break down similarity scores of the poems added to the site.

Power Poetry is the largest online platform for young poets, with over 350K users. In 2017, the organization began building the Poetry Genome, a series of ML tools built with Google’s Prediction API that analyze and break down similarity scores of the poems added to the site. The most recent is a rap-poetry similarity tool that matches young poets’ work to rap artists and then shows them the education value of that connection. The Poetry Genome has increased usage and engagement by 30% for that section of the site. Ann Nguyen explains how Power Poetry is extending the learning potential with machine learning and covers the technical elements of the Poetry Genome, including Google Analytics, the Google Prediction API, Drupal, and user game dynamics. Machine learning has so many use cases in the business world, but the nonprofit sector has yet to start adopting this powerful tech for impact. Moving forward, Power Poetry is looking to use other major datasets to create automated educational tools for the young poets on the site.