Search Results for author: Daniela Teodorescu

Found 7 papers, 1 papers with code

Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health

no code implementations4 Mar 2024 Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J. Feldman, Kristen A. Lindquist, Saif M. Mohammad

We are united in how emotions are central to shaping our experiences; and yet, individuals differ greatly in how we each identify, categorize, and express emotions.

Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers

no code implementations26 Oct 2023 Daniela Teodorescu, Tiffany Cheng, Alona Fyshe, Saif M. Mohammad

Research in psychopathology has shown that, at an aggregate level, the patterns of emotional change over time -- emotion dynamics -- are indicators of one's mental health.

Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age

no code implementations8 Jun 2023 Daniela Teodorescu, Alona Fyshe, Saif M. Mohammad

These results act as a useful baselines for further research in how patterns of emotions expressed by children change with age, and their association with mental health.

Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis

1 code implementation3 Jun 2023 Daniela Teodorescu, Saif M. Mohammad

By running experiments on 18 diverse datasets in 9 languages, we show that despite being markedly poor at instance level emotion classification, LexO methods are highly accurate at generating emotion arcs when aggregating information from hundreds of instances.

Emotion Classification Sentiment Analysis

Frustratingly Easy Sentiment Analysis of Text Streams: Generating High-Quality Emotion Arcs Using Emotion Lexicons

no code implementations13 Oct 2022 Daniela Teodorescu, Saif M. Mohammad

We also compare two common ways of generating emotion arcs: Machine-Learning (ML) models and Lexicon-Only (LexO) methods.

Sentiment Analysis

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