For this blog post we were tasked with taking a deep dive into a specific text analysis project. I decided to choose the project named “Robots Reading Vogue”. The project takes over a century’s worth of data from the magazine Vogue which contains over 2,700 covers, 400,000 pages, and 6 TB of data. The project was created by Lindsay King and Peter Leonard. Their institutional home is Yale University where King worked in the Haas Arts Library and Leonard worked in the Digital Humanities Lab. There is no list of who made up their team and is described as a “joint project” between the two. They are both librarians with Leonard interested in humanities and King interested in fashion. The corpus and source of data is the Vogue archive which includes 6 TB of data. When I interacted with the various experiments within the project I was able to find a link to the Vogue Archive where they are pulling their data from. There are several experiments and different research they conducted using the data. One question they explored was how the notion of beauty has shifted within the Vogue and used temporal word embeddings to help answer this question. A lot of their research involves exploring the shifts in theme and industry within fashion over periods of time which they use and n-gram and data visualizations to depict. There are also 3 projects that are done by students look at facial and body language as well as an analysis of skin color in fashion photography. The type of text analysis being done includes n-gram search, topic modeling, statistic analysis, and much more. This project does a great job at exploring various types of text analysis. One example is experiment with advertisements where ether look at the sorts of ads by frequency, date, and industry within Vogue over the years. A lot of the data is counting words and phrases to help paint a larger picture and theme which is necessary with such a large set of data. I feel like the design of the website is simplistic and easy to navigate. The various experiments are displayed on the home page and have titles for the various types of analysis. They allow the user to easily dive deeper if they desire by clicking on the explore tab beneath each one. The data visualizations are also shown below and you can look at them in more detail if you click on it. Overall, I thought this project did a great job at evaluating Vogue over time and really shows the power of text analysis and the advancement of technology.