Conversation Theme Clustering

via “conversation-topic-clustering”

via “theme extraction and topic clustering from qualitative feedback”

Unique: Discovers themes and topics from survey text without predefined categories using unsupervised clustering, then automatically names themes using LLM-based summarization, enabling exploratory analysis of customer feedback without hypothesis-driven coding

vs others: More flexible than manual coding or predefined category systems, though less precise and requires more data than supervised classification approaches