Short Course Spotlight: ICPSR - Machine Learning for the Analysis of Text as Data - The Odum Institute

peter.suber's bookmarks 2017-06-16

Summary:

"Quantitative analysis of digitized text represents an exciting and challenging frontier of data science across a broad spectrum of disciplines. From the analysis of physicians’ notes to identify patients with diabetes, to the assessment of global happiness through the analysis of speech on Twitter, patterns in massive text corpora have led to important scientific advancements.

In this course we will cover several central computational and statistical methods for the analysis of text as data. Topics will include the manipulation and summarization of text data, dictionary methods of text analysis, prediction and classification with textual data, document clustering, text reuse measurement, and statistical topic models...."

Link:

http://odum.unc.edu/2017/06/short-course-spotlight-icpsr-machine-learning-analysis-text-data/

From feeds:

Open Access Tracking Project (OATP) » peter.suber's bookmarks

Tags:

oa.ssh oa.data oa.mining oa.reuse oa.new

Date tagged:

06/16/2017, 17:16

Date published:

06/16/2017, 13:16