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2020 – today
- 2024
[j4]Gillian Kant, Ivan Zhelyazkov, Anton Thielmann, Christoph Weisser, Michael Schlee, Christoph Ehrling, Benjamin Säfken, Thomas Kneib:
One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading. Soc. Netw. Anal. Min. 14(1): 121 (2024)- [c5]Anton Thielmann, Arik Reuter, Christoph Weisser, Gillian Kant, Manish Kumar, Benjamin Säfken:
STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module. ACL (Short Papers) 2024: 435-444 - [c4]Anton Frederik Thielmann, Christoph Weisser, Benjamin Säfken:
Human in the Loop: How to Effectively Create Coherent Topics by Manually Labeling Only a Few Documents per Class. LREC/COLING 2024: 8395-8405 - [i7]Arik Reuter, Anton Thielmann, Christoph Weisser, Sebastian Fischer, Benjamin Säfken:
GPTopic: Dynamic and Interactive Topic Representations. CoRR abs/2403.03628 (2024) - [i6]Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib:
Probabilistic Topic Modelling with Transformer Representations. CoRR abs/2403.03737 (2024) - [i5]Parastoo Semnani, Mihail Bogojeski, Florian Bley, Zizheng Zhang, Qiong Wu, Thomas Kneib, Jan Herrmann, Christoph Weisser, Florina Patcas, Klaus-Robert Müller:
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. CoRR abs/2407.18935 (2024) - [i4]Anton Frederik Thielmann, Manish Kumar, Christoph Weisser, Arik Reuter, Benjamin Säfken, Soheila Samiee:
Mambular: A Sequential Model for Tabular Deep Learning. CoRR abs/2408.06291 (2024) - 2023
- [j3]Christoph Weisser, Christoph Gerloff, Anton Thielmann
, Andre Python, Arik Reuter, Thomas Kneib, Benjamin Säfken:
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data. Comput. Stat. 38(2): 647-674 (2023) - [c3]Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken:
Coherence based Document Clustering. ICSC 2023: 9-16 - 2022
- [b1]Christoph Weisser:
Natural language processing and machine learning applications in the social sciences / submitted by Christoph Johannes Weißer, MSc (Oxon). University of Göttingen, Germany, 2022, pp. 1-192 - [c2]Arne Tillmann, Lindrit Kqiku, Delphine Reinhardt, Christoph Weisser, Benjamin Säfken, Thomas Kneib:
Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 2325-2332 - [i3]Andreas Buchmüller, Gillian Kant, Christoph Weisser, Benjamin Säfken, Krisztina Kis-Katos, Thomas Kneib:
Twitmo: A Twitter Data Topic Modeling and Visualization Package for R. CoRR abs/2207.11236 (2022) - [i2]Anton Thielmann, Christoph Weisser, Benjamin Säfken:
Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class. CoRR abs/2212.09422 (2022) - 2021
- [j2]Arne Tillmann, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib:
AuDoLab: Automatic document labelling and classification for extremely unbalanced data. J. Open Source Softw. 6(66): 3719 (2021) - [c1]Mattias Luber, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib, Krisztina Kis-Katos:
Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data. MISDOOM 2021: 33-49 - [i1]Mattias Luber, Anton Thielmann, Christoph Weisser, Benjamin Säfken:
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models. CoRR abs/2111.10401 (2021) - 2020
- [j1]Gillian Kant, Christoph Weisser, Benjamin Säfken:
TTLocVis: A Twitter Topic Location Visualization Package. J. Open Source Softw. 5(54): 2507 (2020)
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aka: Anton Frederik Thielmann
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