Text2Time: Transformer-based article time period predictor. (arXiv:2304.10859v1 [cs.CL])

We explore the problem of predicting the publication period of text document,
such as a news article, using the text from that document. In order to do so,
we created our own extensive labeled dataset of over 350,000 news articles
published by The New York Times over six decades. We then provide an
implementation of a simple Naive Bayes baseline model, which surprisingly
achieves decent performance in terms of accuracy.Finally, for our approach, we
use a pretrained BERT model fine-tuned …

accuracy article articles arxiv bayes bert classification dataset implementation performance publication six terms text text classification transformer