Warning: Undefined variable $num in /home/shroutdo/public_html/courses/wp-content/plugins/single-categories/single_categories.php on line 126

Warning: Undefined variable $posts_num in /home/shroutdo/public_html/courses/wp-content/plugins/single-categories/single_categories.php on line 127

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 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.  This took some very advanced concepts to show and I am curious to see if we can explore those further in class.

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.

I believe this article relates closely to quantitative linguistics referred to in Sentiment Analysis and Subjectivity. 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.

After reading Why Topic Modeling is important 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.