We’re very pleased to announce the release of qdap 1.3.1 This is the latest installment of the qdap package available at CRAN. Several important updates have occurred since the 1.1.0 release, most notable the addition of two vignettes and some … Continue reading →
One day, while I was walking around Cambridge, I had a random thought -- how do the characters on the Simpsons feel about each other? It doesn't take long to figure out how Homer feels about Flanders (hint: he doesn't always like him), or how Burns feels about everyone, but how does Marge feel about Bart? How does Flanders feel about Homer? I then realized that I work with algorithms…
An important article about anti-science sentiment in the U.S. (via David S.). The politicization of scientific issues such as global warming, evolution, and healthcare (think vaccination) makes the U.S. less competitive. I think the lack of statistical...
An important article about anti-science sentiment in the U.S. (via David S.). The politicization of scientific issues such as global warming, evolution, and healthcare (think vaccination) makes the U.S. less competitive. I think the lack of statistical...
An important article about anti-science sentiment in the U.S. (via David S.). The politicization of scientific issues such as global warming, evolution, and healthcare (think vaccination) makes the U.S. less competitive. I think the lack of statistical...
An important article about anti-science sentiment in the U.S. (via David S.). The politicization of scientific issues such as global warming, evolution, and healthcare (think vaccination) makes the U.S. less competitive. I think the lack of statistical...
An important article about anti-science sentiment in the U.S. (via David S.). The politicization of scientific issues such as global warming, evolution, and healthcare (think vaccination) makes the U.S. less competitive. I think the lack of statistical...
by Yanchang Zhao, RDataMining.com There is a nice example on sentiment analysis with R at <http://viksalgorithms.blogspot.com.au/2012/06/tracking-us-sentiments-over-time-in.html>. In the example, the Wikileaks cable corpus is analyzed to track US sentiments of other countries and their presidents over time. The example describes … Continue reading →
Introduction I recently posted about using the Wikileaks cable corpus to find word use patterns, both over time, and in secret cables vs unclassified cables. I received a lot of good suggestions for further topics to pursue with the corpus, Continue reading →
Introduction I recently posted about using the Wikileaks cable corpus to find word use patterns, both over time, and in secret cables vs unclassified cables. I received a lot of good suggestions for further topics to pursue with the corpus, and probabl...
