StanceDetection_tutorial

In this tutorial, you will learn how to get started with stance detection modeling using supervised and unsupervised algorithms. This tutorial contains snippets of scripts that will give you a preliminary idea of how to explore the dataset, train stance detection model on an annotated data.

Data exploration:

You can use subset of Trump dataset [1] from Dataset folder. This data contains around 4200 rows labeled with [pro and anti] stance. The training and testing file can be accessed from Dataset folder.

Supervised stance detection:

You can use the script in simple_supervised_model.py to train the stance detection model and explore with using content and network features.

For a full access to the dataset please refere to the work of

[1]Darwish, Kareem, et al. "Unsupervised user stance detection on twitter." Proceedings of the International AAAI Conference on Web and Social Media. Vol. 14. 2020.