Application of the interactive Leipzig Corpus Miner as a generic research platform for the use in the social sciences

TL;DR

The paper presents the interactive Leipzig Corpus Miner (iLCM), an open-source, flexible platform for automatic content analysis in social sciences, combining quantitative and qualitative methods through an accessible GUI.

Contribution

It introduces the iLCM as a versatile, extendable research platform based on R, facilitating content analysis with integrated tools for social science research.

Findings

iLCM is open-source and user-friendly.

It supports both quantitative and qualitative analysis.

The platform is extendable via RStudio-Server and other interfaces.

Abstract

This article introduces to the interactive Leipzig Corpus Miner (iLCM) - a newly released, open-source software to perform automatic content analysis. Since the iLCM is based on the R-programming language, its generic text mining procedures provided via a user-friendly graphical user interface (GUI) can easily be extended using the integrated IDE RStudio-Server or numerous other interfaces in the tool. Furthermore, the iLCM offers various possibilities to use quantitative and qualitative research approaches in combination. Some of these possibilities will be presented in more detail in the following.