We are fortunate with the use of computers, smartphones, and other forms of media the great avenues to which we can explore data. This can sometimes, though, lead us down somewhat of a rabbit hole, in which we can’t really draw any conclusions or question the intent of our research. At first glance reading “A Report Has Come Here”, I was left thinking this after learning a little about computational linguistics. In this technique, data researches are able to manipulate data “that allows you to present textual data in various visual forms.” I’ve included an example from the article below. From there, we are able to draw complicated links between various objects, people, etc. This connects to a reading we did last week involving deep reading. There are a lot of exciting challenges to discover using this method, but I am honestly not a big fan of it. For me at first glance, it was extremely confusing to draw connections between the arrows and I felt utterly confused at the data displayed and more importantly, the intent behind the visualization.<\/p>\n

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JH makes a good point in his post that these extraction methods are important.\u00a0 He highlights that, “James Hemings could have easily been forgotten in history, but thanks to various digital techniques, information regarding Hemings could be uncovered.” These various extraction approaches do serve a purpose, but as an economics major, I believe there are more sophisticated ways to draw connections between pieces of data.<\/p>\n","protected":false},"excerpt":{"rendered":"

We are fortunate with the use of computers, smartphones, and other forms of media the great avenues to which we can explore data. This can sometimes, though, lead us down somewhat of a rabbit hole, in which we can’t really draw any conclusions or question the intent of our research. At first glance reading “A … <\/p>\n

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