61 citations · 86 across the 7 of their papers we have counts for
5 papers · 1 filter
Application of the interactive Leipzig Corpus Miner as a generic research platform for the use in the social sciences
Christian Kahmann, Andreas Niekler, Gregor Wiedemann
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 th…
A Survey of Active Learning for Text Classification using Deep Neural Networks
Christopher Schröder, Andreas Niekler
Natural language processing (NLP) and neural networks (NNs) have both undergone significant changes in recent years. For active learning (AL) purposes, NNs are, however, less commo…
Detecting and assessing contextual change in diachronic text documents using context volatility
Christian Kahmann, Andreas Niekler, Gerhard Heyer
Terms in diachronic text corpora may exhibit a high degree of semantic dynamics that is only partially captured by the common notion of semantic change. The new measure of context…
Modeling the dynamics of domain specific terminology in diachronic corpora
Gerhard Heyer, Cathleen Kantner, Andreas Niekler +2
In terminology work, natural language processing, and digital humanities, several studies address the analysis of variations in context and meaning of terms in order to detect sema…
Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis
Andreas Niekler, Gregor Wiedemann, Gerhard Heyer
This paper presents the "Leipzig Corpus Miner", a technical infrastructure for supporting qualitative and quantitative content analysis. The infrastructure aims at the integration…