The mode of Digital Humanities that interests us the most is the functionality of parsing through text, and doing analysis of text based off of trends or key words that are found as a result. Since we thought this tool was the most useful, we decided to apply it to our project ideas.
We had a couple of ideas for our final project including our preferred means of applying the digital humanities. First, we thought about Twitter and how we can parse through the trending topics, since there is not an over-all database or one comprehensive timeline.
Another project proposition we created had to do with worldwide news and the opinions of the articles written. The program would parse through articles posted on a news site and gauge how positive or negative the current state of the world is by displaying it on some sort of visually pleasing scale, with bright colors representing positive opinions and/or feelings and dark colors representing the contrary.
We also have to consider the process of web parsing and how consistent all of our resources are on the internet. When we looked on a website such as www.cnn.com the URLs are all consistent, but there are still many difficulties that need to be considered when determining the feasibility of our ideas.