Natural Language Processing in kdb+

30 May 2018 | , , , , , , ,

As part of Kx25, the international kdb+ user conference held May 18th, a series of seven JuypterQ notebooks were released and are now available on Each notebook demonstrates how to implement different machine learning techniques in kdb+, primarily using embedPy, to solve all kinds of machine learning problems, from feature extraction to fitting and testing a model. These notebooks act as a foundation to our users, allowing them to manipulate the code and get access to the exciting world of machine learning within Kx.

Natural Language Processing in q

12 Dec 2016 | ,

Expert kdb+ programmer Ben Jeffery of Kx labs recently presented his NLP in Q talk at the Kx Community NYC Meetup. When Ben began this project he found there were no existing NLP libraries in q. He decided to focus on vector operations because q is so suitable for these, rather than named entity recognition, part-of-speech tagging and coreference resolution. In his talk, Ben demonstrated clustering, finding groupings of entities in documents, like terms and proper nouns, as well as showing other features of NLP analytics in q. His examples included the Old and New Testaments of the Bible, Moby Dick and Jeff Skillings emails from his Enron days. Using his NLP program, Ben made easy work of...