On Monday, October 17th, my class had the presentation on the corpus analysis. After working on them for the duration of the past couple of weeks of classes, me and my classmates presented to each other, to the professor, and to our guests, the results of our work. Not only that each of us learnt from each presentation, but we also learnt from the feedback we received from the audience.
The five collections of text the analysis were based on were from different categories, which shows the diversity of material a digital humanist can work with. We had a really fun and interesting analysis of the top 10 billboard songs in the past decades which looked at the patterns of writing a hit and how it varied over the years. Then, I presented my corpus analysis and quantification which will serve for the development of a poem generator in a Bacovian style. Third, another classmate provided us with an extremely detailed overview and comparison of two dictionaries of the Costa Rican Slang. Another classmate followed with a presentation on the portrayal of Islam and Arab culture in the Western media in an attempt to create a tool to destroy the stereotypes (and which I found very interesting, inspiring, useful, and applicable in other fields). The last presentation was an analysis of Paris’ 2005 Race Riots and their portrayal in the media.
As I already said, these presentations showed the wide range of topics one can choose when they decide on a text analysis in a digital humanist way.
Looking back on my work, I think that the process of quantifying the chosen poems using AntConc was incredibly useful and gave me a starting point for the development of the program I am currently working on. While using Voyant it was also a good time to see the similarities and differences between what I knew about the poems and what the tool allows one to find about them (if they never read them before). Now that I think of it, I could have done a more detailed analysis of the connections between the words used inside the poems. This would not only help me when programming the generator, but also offer me and others a better understanding of how, when, and why Bacovia chooses his words.
As a closing thought, I am eagerly looking forward to work on other digital humanist projects and apply what I learnt through this experience and by looking at others’ works.