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Lev Konstantinovskiy

tmylk
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Decks

Sentence Embeddings for Automated Factchecking PyData London 2018
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750
PyCon Russia 2017 - Тематическое моделирование для людей
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250
"How to get the similarity you need with next gen of word embeddings" PyData Berlin 2017
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350
Next gen of word embeddings London 45 mins
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760
Next gen of word embeddings Rio 30 mins
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200
Next generation of word embeddings
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220
Get the text similarity you need with word embeddings
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290
Turn Email into Data with Deep Learning (Plus Other Industry Tasks with Gensim Topic Modeling)
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400
America's Next Topic Model at PyData Berlin August 2016
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810
America's Next Topic Model Lightning talk (5 mins)
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360
Document Classification with word2vec at PyData NYC
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580
Word embeddings for fun and profit with Gensim - PyData London 2016
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1.2k
Same content. Different words.
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940

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