Smart-City:智慧城市项目

## Correlated topic model This is a C implementation of the correlated topic model (CTM), a topic model for text or other discrete data that models correlation between the occurrence of different topics in a document. The CTM is fully described in [Blei and Lafferty (2007)](http://www.cs.columbia.edu/~blei/papers/BleiLafferty2007.pdf). (For an implementation of a related topic model, latent Dirichlet allocation, click [here](https://github.com/Blei-Lab/lda-c).) An example of the correlated topic model applied to a corpus of the journal Science can be found [here](http://www.cs.cmu.edu/~lemur/science/). Note that this code requires the [Gnu Scientific Library](http://www.gnu.org/software/gsl/). ## Downloads View the [README](https://github.com/Blei-Lab/ctm-c/blob/master/README). Fork or clone this repository. ## Questions, bug fixes, and updates Please join the topic-models mailing list to ask questions about this code, be notified of updates, and to discuss the CTM and related techniques. To join, click [here](https://lists.cs.princeton.edu/mailman/listinfo/topic-models).