MA-sLDAr: Multi-Annotator Supervised LDA for regression

MA-sLDAr is a C++ implementation of the supervised topic models with responses/target variables provided by multiple annotators with different levels of expertise, as proposed in:

Sample data using the MovieReviews dataset is provided here. See the readme file for a quick example on how to run MA-sLDA over this data.

Other datasets collected from Amazon Mechanical Turk are also provided below.


Source code



Please send questions and comments to rodr [at]