word2vec

Data Skeptic

Word2vec is an unsupervised machine learning model which is able to capture semantic information from the text it is trained on. The model is based on neural networks. Several large organizations like Google and Facebook have trained word embeddings (the result of word2vec) on large corpora and shared them for others to use.

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word2vec @ Data Skeptic

📆 2019-01-31 01:00


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Authorship Attribution @ Data Skeptic

📆 2019-01-25 17:51