🧑‍🔬 Arthur M. Jacobs

🏛️ Affiliations

🎓Freie Universität BerlinBerlin · Germany2004–2025 · 194 papers🔬Centre National de la Recherche ScientifiqueParis · France1983–2013 · 25 papers🎓Philipps University of MarburgMarburg · Germany1996–2010 · 10 papers🎓Université Paris DescartesParis · France1983–2008 · 10 papers🎓Catholic University of Eichstätt-IngolstadtEichstätt · Germany2000–2004 · 10 papers🎓École Pratique des Hautes ÉtudesParis · France1983–1987 · 4 papers🔬École des hautes études en sciences socialesParis · France1986–1987 · 3 papers🏥Charité - Universitätsmedizin BerlinBerlin · Germany2013–2014 · 2 papers🔬Laboratoire de Neurosciences CognitivesParis · France1994–1996 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 more institutions on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English Literature (2022 · 9 citations)
   Jacobs and Kinder analyze nearly all of the Gutenberg Literary English Corpus (GLEC). Earlier quantitative work had covered only its poetry subset. They selected 2722 texts by 112 authors across six categories: children and youth literature, essays, novels, plays, poems and short stories.
2. Quasi Error-free Text Classification and Authorship Recognition in a large Corpus of English Literature based on a Novel Feature Set (2020 · 1 citation)
   Jacobs and Kinder test whether a small, interpretable set of document-level measures can do two jobs: sort literary texts into broad categories and identify their authors.
3. Explorations in an English Poetry Corpus: A Neurocognitive Poetics Perspective (2018)
   Jacobs addresses a gap in empirical literary research. Psycholinguistics and Neurocognitive Poetics lack large corpora built specifically from literary texts, so measures such as trigram surprisal are usually estimated from non-literary language. He assembles the Gutenberg Literary English Corpus (GLEC) from Project…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English LiteratureArthur M. Jacobs, Annette KinderarXiv:2201.04356 · 9 citations
2. Electoral Programs of German Parties 2021: A Computational Analysis Of Their Comprehensibility and Likeability Based On SentiArt (original ↗)Arthur M. Jacobs, Annette Kinder2021 · arXiv:2109.12500 · 3 citations · no summary yet
3. Quasi Error-free Text Classification and Authorship Recognition in a large Corpus of English Literature based on a Novel Feature SetArthur M. Jacobs, Annette KinderarXiv:2010.10801 · 1 citation
4. Explorations in an English Poetry Corpus: A Neurocognitive Poetics PerspectiveArthur M. JacobsarXiv:1801.02054

🤝 Co-authors here

1 co-author with a page, the most papers together first.

• Annette Kinder ×2

🔗 Cited by

Papers of our library cite their works 2 times (of the 141,840 papers whose bibliographies we read).

Updated 24 October 2026

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