activity
20192025
most citedThe Emotion Dynamics of Literary Novels

1 citations · 2 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CL2025

Affect, Body, Cognition, Demographics, and Emotion: The ABCDE of Text Features for Computational Affective Science

Jan Philip Wahle, Krishnapriya Vishnubhotla, Bela Gipp +1

Work in Computational Affective Science and Computational Social Science explores a wide variety of research questions about people, emotions, behavior, and health. Such work often…

cs.CL2024★ 1 cited

The Emotion Dynamics of Literary Novels

Krishnapriya Vishnubhotla, Adam Hammond, Graeme Hirst +1

Stories are rich in the emotions they exhibit in their narratives and evoke in the readers. The emotional journeys of the various characters within a story are central to their app…

cs.CL2024

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

Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J. Feldman +2

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. In psychology,…

cs.CL2024

SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages

Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla +24

Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks. While earlier NLP research primarily…

cs.CL2023★ 1 cited

Improving Automatic Quotation Attribution in Literary Novels

Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst +1

Current models for quotation attribution in literary novels assume varying levels of available information in their training and test data, which poses a challenge for in-the-wild…

cs.CL2022

Tweet Emotion Dynamics: Emotion Word Usage in Tweets from US and Canada

Krishnapriya Vishnubhotla, Saif M. Mohammad

Over the last decade, Twitter has emerged as one of the most influential forums for social, political, and health discourse. In this paper, we introduce a massive dataset of more t…