survey-seed-harvest

This Skill accelerates taxonomy building by automatically detecting survey and review papers in a deduplicated document set, then extracting and grouping candidate topic terms into hierarchical seeds for your literature review.

The Skill detects survey and review papers by analyzing titles and abstracts within a deduplicated set of documents, isolating the papers most likely to contain foundational taxonomy seeds and terminology.

Yes, the Skill processes deduplicated document sets, such as a JSONL file, to extract candidate topic terms and group them into hierarchical taxonomy seeds with descriptions for immediate use.

Bootstrapping a taxonomy structure is best achieved by extracting terminology and subtopics from existing survey papers, providing initial hierarchical groupings of terms that accelerate topic modeling.

Taxonomy seed extraction relies on keyword analysis and hierarchical grouping of extracted terms to function. The Skill automates initial extraction from survey papers but requires these analytical steps to build the taxonomy.