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Text and Data Mining

Text and data mining comprises the development and application of methods which are designed to extract knowledge that is relevant to the social sciences from unstructured texts or data streams.

Main research areas are:

  • Detection of statistical regularities in data and text and alignment of these regularities with variables of interest such as political leaning or gender
  • Combine digital behavioral data and survey data to create new types of user models
  • Semantic enrichment and analysis of collaboratively generated documents (e.g. wikipedia articles or scientific publications) and the social dynamics of the creation process (e.g. conflicts, productivity)
  • Statistical modelling of sequential human behavior (e.g., the decisions made when navigating on the web or individual movement in urban surroundings)
  • Detection, disambiguation and linking of entities which are of interest for the social sciences in academic publications (especially references to research data)
  • Extraction of key information from texts and (semi-)automatic indexing
Name Department Team Email Telephone
Assenmacher, Dennis
Computational Social Science
Data Science Methods
+49 (0221) 47694-484
Backes, Tobias
Knowledge Technologies for the Social Sciences
Information and Data Retrieval
+49 (0221) 47694-539
Batzdorfer, Dr. Veronika
Computational Social Science
Digital Society Observatory
+49 (0221) 47694-452
Bensmann, Felix
Knowledge Technologies for the Social Sciences
Information Extraction and Linking
+49 (0221) 47694-524
Bleier, Dr. Arnim
Computational Social Science
Transparent Social Analytics
+49 (0221) 47694-514
Boland, M.A. Katarina
Knowledge Technologies for the Social Sciences
Information Extraction and Linking
+49 (0221) 47694-513
Dahou, Abdelhalim Hafedh
Knowledge Technologies for the Social Sciences
FAIR Data
+49 (0221) 47694-430
Froehling, Leon
Computational Social Science
Digital Society Observatory
+49 (0221) 47694-585
Kohne, Julian
Computational Social Science
Designed Digital Data
+49 (0221) 47694-222
Linzbach, Stephan
Knowledge Technologies for the Social Sciences
Big Data Analytics
+49 (0221) 47694-715
Mathiak, Dr. Brigitte
Knowledge Technologies for the Social Sciences
FAIR Data
+49 (0221) 47694-510
Otto, Wolfgang
Knowledge Technologies for the Social Sciences
Information Extraction and Linking
+49 (0221) 47694-543
Soldner, Felix
Computational Social Science
Digital Society Observatory
+49 (0221) 47694-234
Stier, Dr. Sebastian
Computational Social Science
Designed Digital Data
+49 (0221) 47694-221
Strohmaier, Prof. Dr. Markus
Präsidialbereich
+49 (0221) 47694-225
Wagner, Prof. Dr. Claudia
Computational Social Science
+49 (0221) 47694-224
Zagovora, Olga
Computational Social Science
Digital Society Observatory
+49 (0221) 47694-216
Zloch, Dr. (rer. nat.) Matthäus
Knowledge Technologies for the Social Sciences
Information Extraction and Linking
+49 (0221) 47694-534
  • Lietz, Haiko, Mohsen Jadidi, Daniel Kostic, Milena Tsvetkova, and Claudia Wagner. 2023 (Forthcoming). "Individual and gender inequality in computer science: A career study of cohorts from 1970 to 2000." Quantitative Science Studies.
  • Kohne, Julian. 2023. "ChatDashboard - A Framework to collect, link, and process donated WhatsApp Chat Log Data." European Survey Research Association Conference (ESRA), University of Milano - Bicocca, Mailand, 2023-07-18.
  • Dahou, Abdelhalim Hafedh, and Mohamed Amine Cheragui. 2023 (Forthcoming). "DzNER: A large Algerian Named Entity Recognition dataset." Natural Language Processing Journal (3): 100005. doi: https://doi.org/10.1016/j.nlp.2023.100005.
  • Dahou, Abdelhalim Hafedh. 2021. "A3C: Arabic Anaphora Annotated Corpus." Proceedings of the 4th International Conference on Natural Language and Speech Processing (ICNLSP 2021), 147–155. Association for Computational Linguistics.
  • Dahou, Abdelhalim Hafedh, and Mohamed Amine Cheragui. 2022. "Impact of Normalization and Data Augmentation in NER for Algerian Arabic Dialect." Modelling and Implementation of Complex Systems: Proceedings of the 7th International Symposium, MISC 2022, Mostaganem, Algeria, October 30‐31, 2022. 249-262. Springer International Publishing. doi: https://doi.org/10.1007/978-3-031-18516-8_18.