Our new paper

Monday I presented the work we have been doing for over 1 year. We are using dynamic topic modeling and cross-domain correlations to understand how climate change research is influencing the Intergovernmental Panel for Climate Change Assessments.


Dynamic Topic Modeling to Infer the Influence of Research Citations on IPCC Assessment Reports


This work is just getting started, it took us a year to get the IPCC documents and citations parsed and processed, the climate change glossaries built, the preprocessing steps to get the best out of the topic modeling, and parameter tweaking. Now we are going to start large scale experimentation.


Thanks to the best advisors ever, Dr. Finin, Dr. Halem and thanks to Dr. Cane, who is a great scientist to work with. It is a honor to work with such great people.

LDA - Step by Step in R

Was able to get an example running very quickly with this tutorial. http://www.rtexttools.com/1/post/2011/08/getting-started-with-latent-dirichlet-allocation-using-rtexttools-topicmodels.html

Topic Modeling - Great Resource

Excellent resource! http://www.cs.princeton.edu/~blei/topicmodeling.html