Word Embedding models trained on 6 national Dutch newspapers. We use the Gensim implementation of Word2Vec to train four embedding models per newspaper, each representing one decade between 1950 and
Human cultural development is marked by the emergence of new words and ideas, reflecting societal changes. But how does this evolution proceed? We use modern methods in natural language processing (na
Analysts often seek to compare representations in high-dimensional space, e.g. embedding vectors of the same word across groups. We show that the distance measures calculated in such cases can exhibit
