{"id":910,"date":"2017-10-09T13:55:36","date_gmt":"2017-10-09T20:55:36","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/dh101f17\/?p=910"},"modified":"2017-10-09T13:55:36","modified_gmt":"2017-10-09T20:55:36","slug":"a-project-for-digital-humanities-starters-robots-reading-vogue","status":"publish","type":"post","link":"http:\/\/miriamposner.com\/classes\/dh101f17\/2017\/10\/09\/a-project-for-digital-humanities-starters-robots-reading-vogue\/","title":{"rendered":"A Project for Digital Humanities Starters: Robots Reading Vogue"},"content":{"rendered":"

\"\"<\/a><\/p>\n

The project “Robots Reading Vogue” is a joint project by Lindsay King (Haas Arts Library) and Peter Leonard (Digital Humanities Lab). It is also considered as the integration of fashion and data mining because statistical models and approaches have been used to analyze the design and content of the fashion magazine Vogue. Faculty and student researchers in Yale purchased the Vogue issues from 1892 to the present day from the Vogue Archive.\u00a0 They then used different software to examine the writing style of Diana Vreeland, the then editor-in-chief, the specific clothing contexts among fabric materials, the hue, saturation, and brightness of Vogue covers, the advertisements, the choice of words, and the general marketing statistics.<\/p>\n

Since the project has examined multiple aspects of the Vogue magazine, different sources, processing methods, and presentations are used. The project can be deconstructed into nine parts through their presentations. Due to the repetition and similarities of the projects, I will be focusing on the three most unique segments. The first presentation, Slice Histograms, used the colored imagines on Vogue magazine as the source.\u00a0 In order to see the color distribution, each of the imagines was sliced into a uniform number of pieces during processing. They then sorted the pieces accordingly based on the color spectrum. For presentation, they put all pieces from the same year on the same slide and combined the slides together in a short clip.<\/p>\n

The first presentation, Slice Histograms, used the colored imagines on Vogue magazine as the source. In order to see the color distribution, each of the imagines was sliced into a uniform number of pieces during processing. They then sorted the pieces accordingly based on the color spectrum. For presentation, they put all pieces from the same year on the same slide, and combined the slides together in a short clip.<\/p>\n

The second presentation, Averaging Covers in Vogue, used the covers of Vogue magazine as the source. In order to explore the visual progression of the covers, they overlaid the covers to obtain a mean RGB value for each pixel during processing. For presentation, they adjusted the covers to align exactly in the layout so the most repeated pixels would generate the strongest possible pattern. For example, the layout of the 1900s demonstrated a clear header on the top and a blurry object in the middle of the cover. It implied that all issues in the 1900s had the header at the same location, and tended to only have graphics in the middle of the cover.<\/p>\n

The third presentation, Topic Modeling Vogue, used the articles published on Vogue as the source. For processing, they used MALLET to read the texts and detected the frequency of different terms and the clustering of them. After that, they categorized clusters based on the common activities they belonged like Arts and Dressmaking. For presentation, they used word clouds and line charts to demonstrate the most mentioned words as well as the frequency of the categories shown on Vogue over time.<\/p>\n

Other segments like Advertisements in Vogue and Colorimetric Space utilized the same approach: The research team took an element of Vogue magazines, used different tools to process the data, and presented the projects with either distribution graphs or line charts. The whole project has utilized a variety of research method and so should be seen as a learning example for starters of Digital Humanities.<\/p>\n","protected":false},"excerpt":{"rendered":"

The project “Robots Reading Vogue” is a joint project by Lindsay King (Haas Arts Library) and Peter Leonard (Digital Humanities<\/p>\n","protected":false},"author":189,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-910","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/posts\/910","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/users\/189"}],"replies":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/comments?post=910"}],"version-history":[{"count":0,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/posts\/910\/revisions"}],"wp:attachment":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/media?parent=910"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/categories?post=910"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/tags?post=910"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}