RealTalk Themes
Discover conversation themes via clustering, relate those to human generated highlights, and explore temporal patterns in how conversations develop.
Project
Using natural language processing and machine learning, we discover emergent themes and patterns within our dialogue data set. Exploring how those relate to human-generated themes and patterns, we can identify how various means of sensemaking relate to one another. Further, by analyzing the dialogue as a whole, we are able to identify relationships between themes temporally and visualize how conversations unfold overtime to help interpret and understand conversations and communities.
