Topic modeling
Get the bigger picture
We employ various topic modeling techniques to uncover features in conversations that generalize across different contexts. Text embeddings, a component of topic modeling, convert words or phrases into numerical vectors, capturing semantic relationships, and contextual information.
This enables our platform to comprehend and categorize conversations into clusters, providing insights into trending topics and factors driving interactions.