Hacks/Hackers Berlin #36 – Computational Journalism and Machine Learning
In November, Hacks/Hackers Berlin will discuss how machine learning and natural language processing can be used in journalism.
Our Elena Erdmann explores how machine learning and natural language processing can be used in the newsroom. At Hacks Hackers she will give a short introduction to Machine Learning.
Also, Natalie Widmann from HURIDOCS will showcase how machine learning can support the work of human rights organisations. Haluka Maier-Borst will explain how he used machine learning in his master-thesis and the newsroom to cover the German elections for the Financial Times. Also, he will try to convince you that machines will not run newsrooms but could actually be your partner in crime as a reporter. Nicolas Merz from WZB Berlin Social Science Center works in a project that collects, digitizes and analyzes electoral programs from political parties in over 50 countries (http://manifesto-project.wzb.eu/). He will show various examples of how to apply automatic text analysis methods to electoral programs.
You can find more info about this event on Meetup.