Automatická klasifikace textu vzhledem k období

Abstract

The aim of this bachelor thesis was to select and test several methods for dating texts to the correct period. The purpose of these methods is to classify a sentence to one of four categories from the 17th century to the 20th century. The methods I have chosen all belong to the machine learning category, which is why my thesis included an extensive data sample for learning and testing models. An object-oriented programming language Python was used for implementation.