  Transformation of Machine Learning (ML) from a boutique science to a
generally accepted technology has increased importance of reproduction and
transportability of ML studies. In the current work, we investigate how corpus
characteristics of textual data sets correspond to text classification results.
We work with two data sets gathered from sub-forums of an online health-related
forum. Our empirical results are obtained for a multi-class sentiment analysis
application.

Computation and Language;Information Retrieval;Machine Learning