AI in Action: Leveraging NLP to Answer Subjective Questions

Measuring impact is easy when there are quantifiable data points available – financial metrics, survey measurements, or even binary flags. But how do you answer questions about process or impact when there is very little quantifiable data available? Join us for a fireside chat (webinar) as we dive into leveraging Natural Language Processing (NLP) models to analyze machine-readable transcripts for key insights related to company support of the LGBTQ+ community.

In this session, you will learn:

• How to craft a premise which can target the most meaningful insights
• Best practices for training the model to avoid excess noise
• Methods for analyzing the results and uncovering additional questions
• Opportunities to add firmographics or other reference data to tell a broader story

Authors of the paper, Assessing Companies' LGBTQ+ Engagement: The Balance Between Public Mention and Supportive Action, will be joined by ProntoNLP, a partner with a low-code NLP platform to give businesses greater access to AI tools.