So, so excited for Machine Learning. I think it will be the cornerstone of my research. My current plan is to do a batch analysis of the New York Times in the first year since the September 11th attacks. Since 9/11 has so many terms and ways of writing about it. I will go through a handful of articles to train the machine on articles about the attacks, and then set it loose on the stack, finding every 9/11 focused article in the pile, and use them for further analysis.

I could also make a graph with the X axis being the chronology of NYT issues, and the Y-axis articles about 9/11. I think one year might be interesting, but a decade might show how we remember and forget things as they get older. The peaks and valleys might be very surprising.

It's exciting stuff, and computer science is really digging deep into its implications these days.

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