Genesys Cloud provides comprehensive topic mining capabilities accessible through the Admin > Quality > Topic Miner interface, enabling users to analyze conversations and extract insights from multiple communication channels including chat, call, email, and message transcripts. The platform supports two primary data source options: direct integration with Genesys Cloud conversations or external JSON file imports. When utilizing Genesys Cloud as the data source, administrators can configure miners by specifying date ranges, media types, participant roles (internal agents, external customers, or both), and up to 50 queues with a maximum conversation limit of 30,000. The system supports multiple language selections and provides options to reference or ignore existing topics and phrases during the mining process. For external data sources, users upload JSON files through dedicated file upload functions with access to preformatted templates to ensure proper data formatting. The mining process displays real-time status updates, allowing users to review and correct errors before restarting sessions as needed. Additional workflow efficiencies include the ability to duplicate existing miners to streamline creation of similar configurations. Once mining is complete, users can create topics from miner results and refine topic suggestions through ignore lists. The topic miner integrates with speech and text analytics functionality and supports work with topics and programs. The platform includes comprehensive documentation covering topic miner , access procedures, transcript mining workflows, topic creation processes, and analytics refinement techniques. Users can provide feedback through role-based categorization mechanisms to report issues such as inaccurate information, outdated content, or unclear presentation, supporting continuous improvement across agent, administrator, developer/engineer, partner, supervisor, and support personnel roles