Christoph Weisser

According to our database, Christoph Weisser authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Probabilistic Topic Modelling with Transformer Representations.

Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib

CoRR, 2024

GPTopic: Dynamic and Interactive Topic Representations.

Arik Reuter, Anton Thielmann, Christoph Weisser, Sebastian Fischer, Benjamin Säfken

CoRR, 2024

2023

Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data.

Christoph Weisser, Christoph Gerloff, Anton Thielmann, Andre Python, Arik Reuter, Thomas Kneib, Benjamin Säfken

Comput. Stat., June, 2023

Coherence based Document Clustering.

Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken

Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

2022

Natural language processing and machine learning applications in the social sciences / submitted by Christoph Johannes Weißer, MSc (Oxon).

Christoph Weisser

PhD thesis, 2022

Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class.

Anton Thielmann, Christoph Weisser, Benjamin Säfken

CoRR, 2022

Twitmo: A Twitter Data Topic Modeling and Visualization Package for R.

Andreas Buchmüller, Gillian Kant, Christoph Weisser, Benjamin Säfken, Krisztina Kis-Katos, Thomas Kneib

CoRR, 2022

Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models.

Arne Tillmann, Lindrit Kqiku, Delphine Reinhardt, Christoph Weisser, Benjamin Säfken, Thomas Kneib

Proceedings of the IEEE Smartworld, 2022

2021

AuDoLab: Automatic document labelling and classification for extremely unbalanced data.

Arne Tillmann, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib

J. Open Source Softw., 2021

Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models.

Mattias Luber, Anton Thielmann, Christoph Weisser, Benjamin Säfken

CoRR, 2021

Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data.

Mattias Luber, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib, Krisztina Kis-Katos

Proceedings of the Disinformation in Open Online Media, 2021

2020

TTLocVis: A Twitter Topic Location Visualization Package.

Gillian Kant, Christoph Weisser, Benjamin Säfken

J. Open Source Softw., 2020