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.
Our research on Text and Data Mining
- 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
- Dahou, Abdelhalim Hafedh, Mohamed Amine Cheragui, and Ahmed Abdelali. 2023. "Performance Analysis of Arabic Pre-Trained Models on Named Entity Recognition Task." In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, edited by Ruslan Mitkov, and Galia Angelova, 458–467. Shoumen: INCOMA Ltd.. https://aclanthology.org/2023.ranlp-1.51.pdf.
- Diera, Andor, Abdelhalim Hafedh Dahou, Lukas Galke, Fabian Karl, Florian Sihler, and Ansgar Scherp. 2023. GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding. Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP. Association for Computational Linguistics (ACL). doi: https://doi.org/10.18653/v1/2023.genbench-1.2.
- Dahou, Abdelhalim Hafedh, and Brigitte Mathiak. 2023. "Subject Classification of Software Repository." In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR, 1, 30-38. SciTePress. doi: https://doi.org/10.5220/0012159600003598.
- Lietz, Haiko, Mohsen Jadidi, Daniel Kostic, Milena Tsvetkova, and Claudia Wagner. 2024. "Individual and gender inequality in computer science: A career study of cohorts from 1970 to 2000." Quantitative Science Studies 5 (1): 128–152. doi: https://doi.org/10.1162/qss_a_00283.
- 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.
| Title | Start | End | Funder |
|---|---|---|---|
|
Kompetenzzentrum Datenqualität in den Sozialwissenschaften
(KODAQS)
|
2023-11-15 | 2026-11-14 | Bund |
|
NFDI for Data Science and Artificial Intelligence
(NFDI4DS)
|
2021-10-01 | 2026-09-30 | DFG |
|
NFDI for Business, Economic and Related Data
(BERD@NFDI)
|
2021-10-01 | 2026-09-30 | DFG |
|
Dehumanization Online: Measurement and Consequences (Professorinnenprogramm)
(DeHum)
|
2021-01-01 | 2026-09-30 | SAW (Leibniz) |
Find out more about our consulting and services:
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Analyzing Digital Behavioral Data
Methods, tools, frameworks and infrastructures for analyzing digital behavioral data.
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GESIS Guides to Digital Behavioral Data
Expertise and hands-on advice on the acquisition and analysis of digital behavioral data and the computational methods needed.