Shell Topic Model

Shell Topic Model (STM) is an unsupervised latent variable to identify organizational elements (referred to as shell) in argumentative texts. We proposed this model in the following paper:

ShellMiner: Mining organizational phrases in argumentative texts in social media.
Jianguang Du, Jing Jiang, Liu Yang, Dandan Song, and Lejian Liao
In Proceedings of the 2014 IEEE International Conference on Data Mining (short paper), 2014..

The code of the model can be found here and the data used in the paper can be found here.