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Bernard J. Jansen

Bernard J. Jansen has 2 papers in our library, in 2020, most of them on Semitic languages, Sentiment & emotion; often with Ahmed Abdelali, Joni Salminen, Shammur Absar Chowdhury.

2 papers in our library · 2020

OpenAlex · ORCID · Wikidata · h-index 70 · 609 works · 21,598 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 47 times in our library · ⭐ Paper Stars ranking: #7122

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

🎓Hamad bin Khalifa UniversityDoha · Qatar2015–2026 · 215 paperscurrent🎓Peking UniversityBeijing · China2026 · 6 paperscurrent🎓Nankai UniversityTianjin · China2026 · 2 paperscurrent🎓Pennsylvania State UniversityState College · United States2002–2025 · 193 papersEmployment🎓United States Military AcademyWest Point · United States1998–2013 · 13 papersEducationEmployment🤝Association for Computing MachineryNew York · United States1998–2015 · 10 papers🔬IBM Research - ZurichRüschlikon · Switzerland2007–2017 · 7 papers🎓University of MississippiOxford · United States2006–2017 · 7 papers🎓University of PittsburghPittsburgh · United States2004–2005 · 2 papers🏛️United States ArmyArlington · United States2000–2002 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksCommunication · 1 workSocial Sciences · 1 work

🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 2 worksSentiment & emotion · 1 work

 Works by year

2020s

20202 papers

 Papers

The most cited first (OpenAlex and our library).

  1. A Multi-Platform Arabic News Comment Dataset for Offensive Language Detection (2020 · 64 citations)
    Most Arabic resources for detecting offensive language come from a single social network, usually Twitter or YouTube.
  2. Improving Arabic Text Categorization Using Transformer Training Diversification (2020 · 17 citations)
    The paper asks how well Arabic short-text topic classifiers carry over when the training text and the test text differ in source, platform, or variety of Arabic (MSA vs.

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 47 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

Updated

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