amazon-science/dstc12-controllable-conversational-theme-detection
Data & code for DSTC12, Controllable Conversational Theme Detection track
This project helps customer support, sales, and marketing teams quickly understand the main topics within customer conversations. It takes raw conversation transcripts and user preferences for grouping similar messages, then automatically generates clear, concise theme labels like "report defective product" or "schedule appointments." The goal is to provide a customizable summary of customer needs and inquiries.
Use this if you need to automatically categorize and summarize the key themes from a large volume of customer interactions, adapting the level of detail to your specific needs.
Not ideal if you primarily need to classify customer intent for an automated dialogue system with predefined responses, as this focuses on broader, user-driven themes.
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Language
Python
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Last pushed
Nov 05, 2025
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