hackathon

London Hackathon

Which cars crash most? Which automobile companies had to recall their cars over the last ten years and how does current news relate to news in the financial automobile industry domain from the last ten years? On Friday 30 2015 three teams tried to answer these questions during the NewsReader Hack Day in London. At the foot of the Big Ben (to be precise, at the Royal Institution of Chartered Surveyors), participants explored NewsReader’s analyses of 1.3 million articles about…

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Amsterdam Hackathon Recap

On January 21st, the second NewsReader hackathon and the first part of our Y2 user evaluation took place at the Amsterdam Public Library. For the hackathon, around 30 participants from research groups, as well as companies, public institutions and even some students came to the 6th floor of the Amsterdam Public Library. The participants formed teams of varying size resulting in 8 presentations at the end of the day. The NewsReader team was super happy to see so many different…

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Diving into the NewsReader data

What could you do to unlock the potential of six million automotive news articles? Together with the rest of the NewsReader consortium, SynerScope will organize two hackathons where you can showcase your skills. The hackathons will take place the 21st and the 30th of January in Amsterdam and London respectively. Participating hackers will be able to explore data extracted from more than six million news articles relating to the global automotive industry. These news articles have been processed in the…

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More than a waste paper bin: the data for From Porsches to Pizza

A car metaphor seems in place to start: the NewsReader engine is a true gas guzzler, with an extreme thirst for raw data. We quenched this thirst by selecting and delivering several millions of news articles covering the global automotive industry for the NewsReader infrastructure to process and enrich. A big chunk of this ‘NewsReaderised’ data set will be used for the hackathons in Amsterdam and London, late January.   Why automotive? Not because all NewsReader contributors are car nuts (some…

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The Technology Behind “From Porsches to Pizza”

On 21 and 30 January 2015, the NewsReader team will organise hackathons in Amsterdam and London, respectively. During these hackathons, participants will get to explore information that was extracted from several millions of news articles about the global automotive industry using the NewsReader pipeline. In this blog post, we’ll explain the technology behind the NewsReader pipeline to give you an idea of the types of information you can find in this dataset. The data processing pipeline is made up of…

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NewsReader World Cup Hack Day

A long time ago*, in a galaxy far, far away** we ran the NewsReader World Cup Hack Day. *Actually it was on the 10th June . **It was in the Westminster Hub, London. The NewsReader project has been running for about 18 months, so we are half way through. We’d always planned to use Hack Days to showcase the technology we have been building and to guide our future work. The World Cup Hack Day was the first of these…

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Come hack with NewsReader!

Are you interested in getting your hands dirty with the NewsReader technology? Are you interested in finding out what the NewsReader data enrichments can do for your questions? Are you a data journalist, hacker, or visualisation specialist? Are you up for building a visualisation or  app in a day? Come join us for the first NewsReader hackathon on June 10 in London! As a special theme for this hackathon we have chosen the football World Cup. We will provide information…

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NWR at OpeNER hackathon

Yesterday, several NWR team members participated in the Natural Language Processing, Text Mining and Big Data Hackathon organised by our colleagues from the OpeNER project. During this hackathon, some 50 participants (amongst others developers, linguists, designers and historians) got together to put current state-of-the-art language technology through a little stress test in some actual use cases. The app ideas that the different teams came up with varied from analysing hotel reviews and visualising the results in different ways, to mining…

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