Social data provides fast, actionable insights into consumers' thoughts, behaviors, and feelings. When applied correctly, these insights can fuel business decisions in innovation, brand, content strategy, and more. Yet many brands struggle to make use of social data due to a lack of resources or know-how – or simply the perception that it takes too long to find real insights.

Ipsos Synthesio has developed Topic Modeling, a bottom-up discovery that engine uses machine learning to identify unknown patterns and themes in social conversations. By removing human bias and preconceived notions, Topic Modeling can help brands uncover consumer trends, detect unknown signals and patterns that affect their brand, and identify unmet needs for product innovation.

Download this report to learn:

• What Topic Modeling is and how it reduces time-to-insight in social listening or consumer research projects
• How techniques like unsupervised machine learning are helping brands get more out of social data
• Use cases for Topic Modeling beyond social listening, including search and survey data analysis