Miguel Arana-Catania — Papers on Cortexa

arxivcs.CLcs.AIcs.DLcs.IRcs.LG2026-07-10

Letting the Data Speak: Extracting Keywords from Crowdsourced Collections with AI

Miguel Arana-Catania, Catherine Conisbee, Matthew Kidd

Identifying and assigning keywords at scale is a technical, practical, and ethical challenge for crowdsourced collections. This article reports the findings of the "Extracting Keywords from Crowdsourced Collections" project, which used the Their Finest Hour Online Archive, a crow…

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arxivcs.CLcs.AIcs.DLcs.IRcs.LG2026-07-10

Automatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete Works

Miguel Arana-Catania, Gillian Pink, Glenn Roe

Thematic indexing -- the practice of assigning structured conceptual labels to sections of text -- is essential to scholarly access in large-scale literary and historical editions, yet it remains a largely manual, labour-intensive process. This paper explores the application of m…

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