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Spectral Methods for Correlated Topic Models

This folder contains two subfolders below:

  • data This folders contains the Bag of Words dataset of New York Times articles available on UCI Machine Learning Repository . The data has been split to two sets of train and test and saved as a sparse MATLAB matrix (stored as “*.mat” files).

  • code This folder contains the “spectral methods for correlated topic models” code. The main file is called NIDtmMain.m. Once ran, the m-file will generate two variable called “perpNID” and “PMI” in the workspace that are the resulting perplexity and PMI, respectively, for the dataset available in the data/ folder. Please refer to NIDtmMain.m for further documentation. The input can either be MATLAB’s *.mat or *.txt as explained in the NIDtmMain.m.