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Detecting policy fields in German parliamentary materials with Heterogeneous Information Networks and Node Embeddings
Abstract
This short paper illustrates a combination of Heterogeneous Information Networks (HINs) and Node Embeddings for application in policy research. HIN-based methodology is useful to cope with the dynamic and permeable ontology of policy fields, as it allows to integrate various entities and political interactions within a single network, prepared for diverse analytical operations. The paper presents the theoretical foundations, basic network construction and potential use cases for applied policy studies.
Publication Type
ConferencePaper
Author
Editor • • •
Rehbein, Ines
Lapesa, Gabriella
Glavaš, Goran
Ponzetto, Simone
Date Issued
2021
Faculty
Institute / Institution
Published in
Proceedings of the 1st Workshop on Computational Linguistics for Political Text Analysis (CPSS-2021)
Conference
1st Workshop on Computational Linguistics for Political Text Analysis, Düsseldorf, 06.09.2021
Page Start
53
Page End
58
Link to the original publication
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