Meltwater Blog
We build the platforms that help comms teams see around corners. Expect practical engineering lessons, data pipelines at scale, and product thinking from the people behind Meltwater.
Featured story
Today the Engineering team in Berlin got an introduction to Microsoft SharePoint. Presenter was Fabian Moritz from ITaCS GmbH, who is an MVP for SharePoint Server. Read the story
Today we are putting the developer spotlight on Ruth, Scrum Master for Meltwater Buzz in Bedford, New Hampshire, USA.
All across the Engineering teams in the US and Europe we are recruiting for high caliber individuals to strengthen our different groups. Recently we had the three musketeers join our US operation, which are - as we all know - accompanied by a 4th fellow. So shouting “all for one, one for...
Meet us at booth 059 at the BME Job Fair of Technical University of Budapest on March 6-7!
It is a unique and gratifying experience to start a new major component of an already established product, and to bring it all the way from the blackboard until it eventually goes to production.
Today we are putting the developer spotlight on Deyan, Senior Software Engineer for our Content Services team in Budapest, Hungary.
At the end of 2012 I joined the Engineering team of Meltwater Press (mPress), to start working on my master thesis on the mPress NLP search system. The title of the thesis is “Qualitative analysis for detecting shifts in system requirements of search systems”, and I am performing it under the supervision...
Today we are putting the developer spotlight on Naji, Support Engineer for Meltwater News in Berlin, Germany.
The Developer Spotlight is a new category on our blog. I offers you a keyhole view at the work of our developers, designers, support engineers, testers, operations engineers, Scrum masters, and all other people at Meltwater that bring our products to life.
Recently I had an interesting problem to solve. Given a set of documents and the key phrases found in each document, the task is to display the key phrases on a map so that related phrases appear close to each other while unrelated ones are placed further apart. This should result in...