A deep learning approach for discursive repertoires prediction in online texts

In recent years, a variety of deep learning techniques have been applied to natural language processing, the branch of artificial intelligence that focuses on the machine's ability to handle, understand and derive meaning from human languages. This project aims to explore the application of deep learning models for the prediction of discursive repertoires, to analyse and extract meaningful features from online texts. The discursive repertoire concept is a key component of dialogical science, a research program born at the University of Padova with the goal to analyse and measure rules and modalities of human interactions through natural languages.