Daniela Teodorescu
Daniela Teodorescu has 3 papers in our library, in 2023–2026, most of them on Sentiment & emotion, Evaluation & benchmarks; often with Saif Mohammad, Alona Fyshe, Jan Philip Wahle.
OpenAlex · ORCID · h-index 5 · 24 works · 55 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #8917
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Psychology · 3 worksComputer Science · 2 worksExperimental and Cognitive Psychology · 3 worksSocial Psychology · 3 worksArtificial Intelligence · 2 works
🧭 Topics 2Research subjects and languages the work is about.Sentiment & emotion · 3 worksEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis (2023 · 20 citations)
Emotion arcs trace how sentiment toward a topic, or within a story or population, changes over time. They are widely used, but their accuracy has rarely been checked because true arcs are hard to obtain. The authors address this by building gold arcs from datasets whose individual instances carry human valence… - Age and Affect in Language: How Emotion Expression on Social Media Varies Across Adulthood (2026 · 1 citation)
Psychology research disagrees on how emotional well-being changes over adulthood. Some studies report a U-shape, others an inverted U, and others no change. Most of this evidence comes from surveys, which are small and prone to bias, and it usually measures only valence. The authors offer a corpus-based alternative.… - Linguistic Distancing on Social Media: Indicators of Emotion Regulation Across Age Groups (2026 · 1 citation)
Emotion regulation is closely tied to well-being, and one healthy regulation strategy is stepping back psychologically from events.
Co-authors here
Venues
- Computational Affective Science (CAS) @ LREC ×2: Computational Affective Science (CAS) @ LREC 2026 ×2
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
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