UK Twitter word embeddings (II)

<b>Word embeddings trained on UK Twitter content (II)</b>The total number of tweets used was approximately 1.1 billion, covering the years 2012 to and including 2016.<b>Settings:</b> Skip-gram with negative sampling (10 noise words), a window of 9 words, dimensionality of 512, and 10 epochs of training. After filtering out words with less than 100 occurrences, an embedding corpus of 470,194 unigrams was obtained (see<b> </b><b>embd_voc</b>). The corresponding 512-dimensional embeddings are held in<b> </b><b>embd_vec.bz2</b>.