Professor Robert Stine’s Seminar: “Featurizing Text”

October 25, 2013 – Robert Stine, Professor of Statistics at the Wharton School of the University of Pennsylvania, presented his seminar, “Featurizing Text: Converting Text into Predictors for Regression Analysis.” Professor Stine has appeared in numerous journals, including the Journal of the American Statistical Association, Journal of the Royal Statistical Society, and the Annals of Statistics.

In his presentation, Professor Stine introduces three ways of converting text into numerical values. He guides the audience through the methods of counting words, principal components analysis of word counts, and the forming of eigenwords from sequences of words. These new predictors can be then used to build regression models.

Be sure to watch the seminar if you were unable to attend the seminar. You can find Professor Stine’s seminar here: http://videostreaming.gc.cuny.edu/videos/video/1079/

Want to learn more about Professor Stine’s work, read his draft manuscripts, or look through his presentation slides? You can find them on his website here: www-stat.wharton.upenn.edu/~stine

Professor Lev Manovich’s Seminar: “How to see 2 million Instagrams?”

October 2, 2013 – Lev Manovich, Professor of Digital Humanities at the Graduate Center, CUNY, presented his seminar, “How to see 2 million instagrams.” This was the first seminar of Fall 2013. Professor Manovich’s presentation is the first about data visualization within the CUNY Data Mining Initiative’s seminar series.

In the talk, Professor Manovich elaborated on how images and user-generated content can be analyzed to understand patterns and trends. Features can be created from these images. In turn, these features can be visualized. These new visualizations are almost art forms in themselves, but they can also be useful in helping the researcher analyze data about a set of individual images.

If you were unable to attend the seminar, then be sure to catch the talk here: https://videostreaming.gc.cuny.edu/videos/video/942/.

You can also learn more about Professor Manovich’s work on his website: www.manovich.net.