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Most Influential NEURIPS 2009 Paper · 2026-03 edition

Reading Tea Leaves: How Humans Interpret Topic Models

Jonathan Chang; Sean Gerrish; Chong Wang; Jordan L. Boyd-graber; David M. Blei

Venue
NEURIPS 2009
Recognition
Most Influential NEURIPS 2009 Paper (Rank No. 1)
Edition
2026-03
Impact factor
9
Certificate ID
ce3e2409e18376bc

Abstract

Reading Tea Leaves: How Humans Interpret Topic Models

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