Elamur Research⌕
☰
home / authors / Annette Kinder

Annette Kinder

Annette Kinder has 2 papers in our library, in 2020–2022, most of them on English, Sentiment & emotion; often with Arthur M. Jacobs.

2 papers in our library · 2020–2022

OpenAlex · ORCID · h-index 16 · 53 works · 899 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 2 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #5906

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Freie Universität BerlinBerlin · Germany2011–2024 · 15 papers🎓Philipps University of MarburgMarburg · Germany2000–2005 · 12 papers🎓University of PotsdamPotsdam · Germany2008–2010 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

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

📚 Shelves 7 Arts and Humanities · 2 works Computer Science · 2 works Social Sciences · 2 works Artificial Intelligence · 2 works General Social Sciences · 2 works Language and Linguistics · 2 works Literature and Literary Theory · 2 works

🧭 Topics 2 English · 2 works Sentiment & emotion · 1 work

 Works by year

2020s

20221 paper20201 paper

 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.

All works

3 works of theirs in our library, the most cited first; 2 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

 Co-authors here

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

 Cited by

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

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/annette-kinder/