Word2Vec Models Dutch Newspapers

<p>Word Embedding models trained on 6 national Dutch newspapers.&nbsp;</p> <p>We use the Gensim implementation of Word2Vec to train four embedding models per newspaper, each representing one decade between 1950 and 1990. The models were trained using C-BOW with hierarchical softmax, with a dimensionality of 300, a minimal word count and context of 5, and downsampling of 10^-5</p> <p>These models belong to the article:&nbsp;Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990</p>