Advisory Group Message Testing
Determine engagement and stance of the general population and policymakers on pesticides.
Allowed them to compare discussions surrounding pesticides from both the general public and policymakers.
Allowed this advisory group to test messages and gauge the reaction they would receive if published publicly.
Stance / Sentiment Analysis
Polly used her thorough understanding of language to analyze the sample and determine the sentiment and stance surrounding each message.
ASI's artificial intelligence, PollyTM, created a representative sample of Poland's general population and a policymaker sample in the capital city of Poland.
Polly provided the advisory group insights into how and why perceptions surrounding pesticides change from country to country.
Additionally, ASI informed the group of how these perceptions change when different messaging is introduced.
Polly's patented algorithm, Conditional Independence Coupling (CIC), ensured that our results were free of bias.
Additionally, its rigorous sampling methodology provided the scientific bedrock needed for this study's machine learning and natural language processing techniques.