This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Miroslav Batchkarov and other experts will be giving talks

This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Matti Lyra and other experts will be giving talks

Welcome to Part 2 of How to use Elasticsearch for Natural Language Processing and Text Mining. It’s been some time since Part 1, so you might want to brush up on the basics before getting started. This time we’ll focus on one very important type of query for Text Mining.

ElasticSearch is a search engine and an analytics platform. But it offers many features that are useful for standard Natural Language Processing and Text Mining tasks. 1. Preprocessing (Normalization) Have you ever used the _analyze endpoint? As you know ElasticSearch has over 20 language-analyzers built in. What is an analyzer

The second day at F8, Facebook’s annual developer conference, saw quite a few updates from the social networking giant. Facebook’s Chief Technology Officer, Mike Schroepfer, addressed their “long-term technology investments” in Connectivity Lab, Facebook AI Research and Oculus. Speaking about Facebook’s AI endeavour, Schroepfer said demonstrated how they have progressed

It almost goes without saying that Tinder has taken the dating world by storm. Stats released late last year revealed that Tinder’s 50-million-strong userbase complete over a billion left and right swipes every single day. The success has often been attributed to the fact that Tinder is the closest virtual

Cortical.io, an Austrian startup whose tech mimics brain function to process language more accurately and natively, have just announced an impressive new funding round. Reventon (NL) is a venture capital firm responsible for this considerable boost to Cortical.io’s coffers. With the new funding, cortical.io already have grand plans on how

Whenever someone needs to cite an example of the staggering volume of data generation today, Twitter is called upon. It’s no wonder this is the case- every single minute, 649 new users sign up to the service, and an astonishing 342,000 tweets are created. Handling this vast ocean of data-

Since Microsoft began working with deep learning neural networks in 2009, we’ve seen huge improvements in the way algorithms can detect our language and dialogue. IBM have continued to pour money and resources into the development of Watson; Apple have moved the development of Siri in-house, to improve its NLP

Palantir, a big data company whose clientele includes the US Army and several government agencies, has been busy this week. They’ve announced the purchase of two startups, Poptip and Propeller. Palantir’s exact motivations for these acquisitions remain nebulous. Tuesday saw the announcement of the Poptip acquisition. Poptip is a social