Publicly available Swedish Government Official Reports (Statens offentliga utredningar) released during the last 100 years are used for temporal classification according to their year of publication. Two BERT-based models are used to investigate how well a state-of-the-art NLPmodel can distinguish between Swedish documents based on the time they were written. The best-performing model is evaluated using two explainable artificial intelligence methods, in order to also gain an understanding of the logic behind the classifications. The findings show that it is possible to accurately separate and classify the reports according to their time of publication. The results from the explainability techniques show some inconsistencies, making it difficult to draw definitive conclusions about what words are most influential to the classifications.