UK Twitter word embeddings (II)
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https://figshare.com/articles/dataset/UK_Twitter_word_embeddings_II_/5791650
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资源简介：
Word embeddings trained on UK Twitter content (II)
The total number of tweets used was approximately 1.1 billion, covering the years 2012 to and including 2016.
Settings: 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 embd_voc). The corresponding 512-dimensional embeddings are held in embd_vec.bz2.
创建时间：
2018-01-16
