Miriam Amin

Miriam Amin

Contact Press / Media

Miriam Amin

Research Fellow, Data Science for Innovation Unit

Fraunhofer Center for International Management and Knowledge Economy IMW
Neumarkt 9-19
04109 Leipzig

Phone +49 341 231039-243

Fax +49 341 231039-9243

Areas of Expertise

  • Data Analysis and Data Science
  • Natural Language Processing (NLP)
  • Artificial Intelligence and Machine Learning



Miriam Amin has been a research fellow in the “Data Science for Innovation“ unit at the Fraunhofer IMW since November 2021. Prior to her master’s degree in Digital Humanities at Leipzig University, she already worked as a research assistant at Fraunhofer IMW since 2017. During her studies, she worked as a Data Scientist in various interdisciplinary research projects, including cooperations with the Leibniz Institute for the German Language in Mannheim and the Egyptological Institute of Leipzig University.

Theoretically founded by a minor in linguistics, Miriam Amin is mainly interested in machine learning with language data and the numerous applications of Natural Language Processing.


Publication Type
2022 Using vector representations for matching tasks to skills
Amin, Miriam; Bergmann, Jan-Peter; Campbell Borges, Yuri Cassio
Conference Paper
2021 Shallow Context Analysis for German Idiom Detection
Amin, Miriam; Fankhauser, Peter; Kupietz, Marc; Schneider, Roman
2021 Data-driven identification of idioms in song lyrics
Amin, Miriam; Fankhauser, Peter; Kupietz, Marc; Schneider, Roman
Conference Paper
2020 A Survey on Approaches to Computational Humor Generation
Amin, Miriam; Burghardt, M.
Conference Paper
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica

Further Talks and Conference Contributions


  • Bergmann, J.; Amin, M.; Campbell, Y.; Trela, K. (2021). How to find similar companies using websites and Wikification. Global TechMining Conference (GTM). Online, 17.-19.11.2021.