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Coco lin
Coco lin

Coco lin

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From Combing LDA and Word Embeddings for topic modeling by Edward Ma

Per author suggested, you should use LDA if you want to have human-readable topics. You may try lda2vec if you want to rework the optic model in other way or predict topics over users.

From Word2Vec — a baby step in Deep Learning but a giant leap towards Natural Language Processing by Suvro Banerjee

This parametrization has a major disadvantage that limits its usefulness in cases of very large corpuses. Specifically, we notice that in order to compute a single forward pass of our model, we must sum ac…

From Word2Vec — a baby step in Deep Learning but a giant leap towards Natural Language Processing by Suvro Banerjee

…f-Words model (CBOW) and the Skip-Gram model. Algorithmically, these models are similar, except that CBOW predicts target words from source context words, while the skip-gram does the inverse and predicts source context-words from the target words.

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How To Sound Like You Know RocksDB (1)

Kai Liu