Gregor Wiedemann
Gregor Wiedemann
Leibniz-Institute for Media Research | Hans-Bredow-Institut
Verified email at leibniz-hbi.de - Homepage
Title
Cited by
Cited by
Year
Applying LDA topic modeling in communication research: Toward a valid and reliable methodology
D Maier, A Waldherr, P Miltner, G Wiedemann, A Niekler, A Keinert, ...
Communication Methods and Measures 12 (2-3), 93-118, 2018
1912018
Opening up to Big Data: Computer-Assisted Analysis of Textual Data in Social Sciences
G Wiedemann
Historical Social Research 38 (4), 332-357, 2013
1632013
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
G Wiedemann, S Remus, A Chawla, C Biemann
15th Conference on Natural Language Processing (KONVENS), 2019
652019
Text Mining in den Sozialwissenschaften. Grundlagen und Anwendungen zwischen qualitativer und quantitativer Diskursanalyse
M Lemke, G Wiedemann
Springer, 2016
592016
Text Mining for Qualitative Data Analysis in the Social Sciences. A Study on Democratic Discourse in Germany
G Wiedemann
Springer, 2016
55*2016
Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter
G Wiedemann, E Ruppert, R Jindal, C Biemann
GermEval 2018@14th Conference on Natural Language Processing (KONVENS), 85-94, 2018
362018
Postdemokratie und Neoliberalismus: zur Nutzung neoliberaler Argumentationen in der Bundesrepublik Deutschland 1949-2011; ein Werkstattbericht
G Wiedemann, M Lemke, A Niekler
ZPTh - Zeitschrift für Politische Theorie 4 (1), 99-115, 2013
362013
Leipzig Corpus Miner-A Text Mining Infrastructure for Qualitative Data Analysis
A Niekler, G Wiedemann, G Heyer
Terminology and Knowledge Engineering (TKE), 10, 2014
302014
Content Analysis between Quality and Quantity
M Lemke, A Niekler, GS Schaal, G Wiedemann
Datenbank-Spektrum 15 (1), 7-14, 2015
202015
Analyse qualitativer Daten mit dem "Leipzig Corpus Miner"
G Wiedemann, A Niekler
Text Mining in den Sozialwissenschaften, 63-88, 2016
192016
Topics and topical phases in German social media communication during a disaster
S Gründer-Fahrer, A Schlaf, G Wiedemann, G Heyer
Natural Language Engineering 24 (2), 221-264, 2018
182018
UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection
G Wiedemann, SM Yimam, C Biemann
International Workshop on Semantic Evaluation (SemEval), 2020
172020
Document retrieval for large scale content analysis using contextualized dictionaries
G Wiedemann, A Niekler
Terminology and Knowledge Engineering (TKE), 10, 2014
132014
Quantifying insightful problem solving: A modified compound remote associates paradigm using lexical priming to parametrically modulate different sources of task difficulty
M Becker, G Wiedemann, S Kühn
Psychological research 84 (2), 528-545, 2020
122020
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records
M Friedrich, A Köhn, G Wiedemann, C Biemann
Association for Computational Linguistics (ACL), 5829-5839, 2019
122019
Proportional classification revisited: Automatic content analysis of political manifestos using active learning
G Wiedemann
Social Science Computer Review 37 (2), 135-159, 2019
122019
Modeling the dynamics of domain specific terminology in diachronic corpora
G Heyer, C Kantner, A Niekler, M Overbeck, G Wiedemann
Terminology and Knowledge Engineering (TKE), 16, 2016
112016
Mining Big Data With Computational Methods
A Waldherr, G Heyer, P Jähnichen, A Niekler, G Wiedemann
Political Communication in the Online World: Theoretical Approaches and …, 2016
82016
Text Mining für die Analyse qualitativer Daten. Auf dem Weg zu einer Best Practice?
G Wiedemann, M Lemke
Text Mining in den Sozialwissenschaften, 397-419, 2016
72016
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection
G Wiedemann, E Ruppert, C Biemann
International Workshop on Semantic Evaluation (SemEval), 2019
62019
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Articles 1–20