Abstract: Abstract Nation and nationhood are among the most frequently studied concepts in the field of intellectual history. At the same time, the word ‘nation’ and its historical usage are very vague. The aim in this article was to develop a data-driven method using dependency parsing and neural word embeddings to clarify some of the vagueness in the evolution of this concept. To this end, we propose the following two-step method. First, using linguistic processing, we create a large set of words pertaining to the topic of nation. Second, we train ...
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