Digital Humanities at Yale University Library Home Experiments Bibliography About Robots Reading Vogue Data Mining is in Fashion Few magazines can boast being continuously published for over a century, familiar and interesting to almost everyone, full of iconic pictures — and also completely digitized and marked up as both text and images. What can you do with over 2,700 covers, 400,000 pages, 6 TB of data? Students, librarians and faculty are excited about the possibilities of working with Vogue to explore questions in fields from gender studies to computer science. We highlight some early experiments below: Word Vectors Using temporal word embeddings to study the shifting notion of beauty in Vogue, by Sydney Bowen '21. Explore » Cover Averages Visual continuity and change across the decades. Explore » n-gram Search Search and compare word usage in 400,000+ pages within ads, articles, or all texts. Explore » Topic Modeling Self-organizing themes determined by word coöccurrence. Explore » Advertisements Sort ads by frequency, date, and industry. Explore » Statistics View figures on circulation, ratio of articles to advertisements, price per issue, and number of pages per year. Explore » Student Work See projects conducted by Yale students using this data. Explore » Colormetric Space Hue, Saturation and Lightness. Explore » FabricSpace Using Word Embedding Models (word2vec) to explore hierarchical clusters of fabric types. Explore » Take a Memo Algorithmically-generated memos, in the style of Vogue editor-in-chief Diana Vreeland. Explore » Slice Histograms Direct visualization of color patterns. Explore » Robots Reading Vogue is a joint project by Lindsay King (Haas Arts Library) and Peter Leonard (Digital Humanities Lab). Vogue material © Condé Nast 1892 – 2021. Vogue Archive material © ProQuest LLC 2012 – 2021.