UK Twitter word embeddings (II)
收藏DataCite Commons2021-03-18 更新2024-09-08 收录
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https://figshare.com/articles/dataset/UK_Twitter_word_embeddings_II_/5791650/1
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资源简介：
<b>Word embeddings trained on UK Twitter content (II)</b><br>The total number of tweets used was approximately 1.1 billion, covering the years 2012 to and including 2016.<br><b>Settings:</b> Skip-gram with negative sampling (10 noise words), a window of 9 words, 512 layers (dimensionality) and 10 epochs of training. <br>After filtering out words with less than 100 occurrences, an embedding corpus of 470,194 unigrams was obtained (see <b>embd_voc</b>). <br>The corresponding 512-dimensional embeddings are held in <b>embd_vec.bz2</b>.<br><br>
提供机构：
figshare
创建时间：
2018-01-16
