Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal

Judith Schoßböck, Noella Edelmann, Nina Rizun

Open source

DOI: 10.1007/978-3-030-82824-0_4
Published: 2021
Container: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-030-82824-0_4,
  title = {Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal},
  author = {Judith Schoßböck and Noella Edelmann and Nina Rizun},
  year = {2021},
  journal = {Lecture Notes in Computer Science},
  doi = {10.1007/978-3-030-82824-0_4},
  url = {https://doi.org/10.1007/978-3-030-82824-0_4}
}

RIS

TY  - JOUR
TI  - Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal
AU  - Judith Schoßböck
AU  - Noella Edelmann
AU  - Nina Rizun
PY  - 2021
JO  - Lecture Notes in Computer Science
DO  - 10.1007/978-3-030-82824-0_4
UR  - https://doi.org/10.1007/978-3-030-82824-0_4
ER  -

APA

Schoßböck, J., Edelmann, N., & Rizun, N. (2021). Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-82824-0_4

Source records

crossref · retrieved 2026-09-25T01:59:21.547Z