Robust Word2Vec Models with Gensim & Applying Word2Vec Features for Machine Learning Tasks

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Editor’s note: This post is only one part of a far more thorough and in-depth original, found here, which covers much more than what is included here. While our implementations are decent enough, they are not optimized enough to work well on large corpora.

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kamac/AskXML

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AskXML >>> from askxml import AskXML >>> conn = AskXML(‘file.xml’) # get an SQL cursor object >>> c = conn.cursor() >>> results = c.execute(“SELECT color FROM fruit WHERE _text LIKE ‘% kiwi'”) >>> for row in results.fetchall(): >>> print(row) [(‘green’), (‘dark green’)] # cleanup >>> c.

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