Get the text similarity you need with word embeddings

Transcript

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   Get the word similarity you need Lev Konstantinovskiy Community Manager

   at Gensim @teagermylk http://rare-technologies.com/
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   Streaming We turn NLP papers into industrial Python code.

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   Credits Parul Sethi Undergraduate student University of Delhi, India RaReTech

   Incubator program Added WordRank to Gensim http://rare-technologies.com/incubator/
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   Business Problems

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   Business Problems “What does Elizabeth think about Mr Darcy?” “Male

   characters in Pride and Prejudice?”
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   Two Different Business Problems 1) What words are in the

   topic of “Darcy”? 2) What are the Named Entities in the text?
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   P&P is only 120k words

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   Closest word to “king”? Trained on Wikipedia 17m words Attribute

   Interchangeable Both
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   Tensorflow has awesome viz!

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    How to get the similarity you need My similar words

    must be Associated Interchangeable I want to describes the word’s Topic Function I want to Know what doc is about Recognize names Then I should run Wordrank (even on small corpus, 1m words) or Word2vec skipgram big window needs large corpus >5m words Word2vec skipgram small window or FastText or VarEmbed
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    Rare and Frequent words are incomprehensible

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    Thanks! Lev Konstantinovskiy github.com/tmylk @teagermylk Gensim T-shirt question: How many

    words are in Pride and Prejudice?