The LREC 2018 conference has accepted our paper co-authored by the iLCM team:

Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier

iLCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data

The paper was accepted as a poster demonstration. The poster can be found here:

See you in Japan!


The iLCM project pursues the development of an integrated research environment for the analysis of structured and unstructured data in a ‘Software as a Service’ architecture (SaaS). The research environment addresses requirements for the quantitative evaluation of large amounts of qualitative data with text mining methods as well as requirements for the reproducibility of data-driven research designs in the social sciences. For this, the iLCM research environment comprises two central components. First, the Leipzig Corpus Miner (LCM), a decentralized SaaS application for the analysis of large amounts of news texts developed in a previous Digital Humanities project. Second, the text mining tools implemented in the LCM are extended by an ‘Open Research Computing’ (ORC) environment for executable script documents, so-called ‘notebooks’. This novel integration allows to combine generic, high-performance methods to process large amounts of unstructured text data and with individual program scripts to address specific research requirements in computational social science and digital humanities.