I was lurking co-workers’ blog posts when I realized that I had to pick a topic for my second course as requirement for the program. This time the course can be designed for the graduate level (the first one actually also was it, though).
In the last months, I have spent a considerable amount of time reading about big data, data mining, machine learning, and statistical analysis; as well as art history, woman rights movements, and representation of body parts. All of them for my current research on human representation of face in world painting, that it is expected to materialize in an abstract for DH 2014 first, and in the first chapter of my disseration later. Second and third chapters of my thesis may include an authorship attribution study of a very famous Spanish novel, and a computer-based sentiment and meter analysis of the set of a specific kind of poetry plays.
All this work is being carried out thanks to the extensive documentation and reading of primary and secondary sources, as well as by dealing with considerable amounts of data generated mainly ad-hoc for this purposes. In the proccess, I started to follow a certain workflow, 1) data collection and curation, 2) data cleansing, 3) auto annotation of meta data, 4) data formating, and finally 5) data analysis employing a varying set of tools and concepts borrowed from Computer Sciences.
Consequently, that made me think that my second course for this PhD will be on Data for the Humanities Research. So, let’s talk to my super visor to see if he is as happy as I am with this topic 😀