Apache Spark is currently one of the most popular open-source cluster-computing frameworks. With its Machine Learning Library (MLlib) it supports the easy scaling of a range of feature extraction and machine learning tasks commonly employed in text mining. Furthermore, it works with both Python and R.

Our colleague, András MORAUSZKI attends and presents his paper entitled  What's on the other side of the river? Slovakians' mental maps on Hungary and vice versa.

The event takes place at the Corvinus University, Budapest, 5-7 November 2019. 

Workshop of the Anthropology of Humanitarianism Network (AHN) of the European Association of Social Anthropologists (EASA) and the Goettingen-based Centre for Global Migration Studies (CeMIG) in Goettingen, 1-3 November 2019. 

Journal of Gastronomy and Tourism

Gergő Medve-Bálint and his co-author, Vera Šćepanović (Leiden University) has recently published an open access article on “EU funds, state capacity and the development of transnational industrial policies in Europe’s Eastern periphery”, in Review of International Political Economy.

Zsófia Papp recently published a new article entitled "Votes, money can buy. The conditional effect of EU Structural Funds on government MPs’ electoral performance" in  European Union Politics.

Congratulations!

The 3rd Annual Conference of the POLTEXT international text mining community was held on September 13-15 at Waseda University in Tokyo. Organized by Kohei Watanabe, Lisa Lechner and Miklós Sebők (the principal investigator of the POLTEXT project at the Centre of Social Sciences, Budapest) the event featured tutorials and presentations by three other researchers of CSS: Márton Bene, Zoltán Kacsuk and Martina Szabó. For more information see poltextconference.org and poltext.tk.mta.hu.