The Six Degrees of Francis Bacon<\/em> was a very fascinating analysis of relationships from 1500 to 1700.\u00a0 The authors showed that people who have similar links tend to have the same number of mentions. For example, assume I was mentioned in a history book by a professor.\u00a0 However, the professor also mentioned another student in section B. I may not know the other student at all, but that person can be a good indicator for number of mentions for myself in a history book.\u00a0 This took some very advanced concepts to show and I am curious to see if we can explore those further in class.<\/p>\n

This article highlights some of the really interesting use cases of machine learning for large (65 million word) data sets. This analysis would not be possible without the machine learning.<\/p>\n

I believe this article relates closely to quantitative linguistics referred to in\u00a0Sentiment Analysis and Subjectivity.<\/em> As an expansion,I would be very curious if one could separate a “likability” for each person in the history books based on positive language as well.<\/p>\n

After reading Why Topic Modeling is important<\/em> by JM, I believe another expansion of the data set would be the tone women and gender are mentioned over time. I would be interested to see the progression of language for this topic.<\/p>\n","protected":false},"excerpt":{"rendered":"

The Six Degrees of Francis Bacon was a very fascinating analysis of relationships from 1500 to 1700.  The authors showed that people who have similar links tend to have the same number of mentions. For example, assume I was mentioned in a history book by a professor.  However, the professor also mentioned another student in … <\/p>\n

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