Using Latent Dirichlet Allocation (LDA) and other approaches to detect artificially created drift in a newspaper headlines dataset.
This repository includes two datasets, one consisting of headlines of old newspaper articles, the other of tweets shortly before the 2020 US election.
The research presented here is funded by the German Federal Ministry of Education and Research (BMBF) through the project EML4U (01IS19080 A-C)