activity
20182026
most citedRepresentation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis

11 citations · 20 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CY2026

You Talkin to Me?: A Network Analysis of Gendered Speaker-Addressee Patterns in Film Screenplays

Samin Khan, Camilla Griffiths, Shrikanth Narayanan +2

Objective: This paper investigates the gendered structure of speaker addressee relationships in film dialogue, asking not merely who speaks, but who is spoken to and how conversati…

cs.CL2024

CHATTER: A Character Attribution Dataset for Narrative Understanding

Sabyasachee Baruah, Shrikanth Narayanan

Computational narrative understanding studies the identification, description, and interaction of the elements of a narrative: characters, attributes, events, and relations. Narrat…

cs.CL2022

Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats

Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah +3

The need for emotional inference from text continues to diversify as more and more disciplines integrate emotions into their theories and applications. These needs include inferrin…

cs.CL2022★ 2 cited

Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion

Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah +3

Detecting emotions expressed in text has become critical to a range of fields. In this work, we investigate ways to exploit label correlations in multi-label emotion recognition mo…

cs.CL2021★ 3 cited

Cross Domain Emotion Recognition using Few Shot Knowledge Transfer

Justin Olah, Sabyasachee Baruah, Digbalay Bose +1

Emotion recognition from text is a challenging task due to diverse emotion taxonomies, lack of reliable labeled data in different domains, and highly subjective annotation standard…

cs.CL2021★ 11 cited

Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis

Sabyasachee Baruah, Krishna Somandepalli, Shrikanth Narayanan

Societal ideas and trends dictate media narratives and cinematic depictions which in turn influences people's beliefs and perceptions of the real world. Media portrayal of culture,…

cs.SI2018★ 4 cited

Characterizing the spread of exaggerated news content over social media

Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta +3

In this paper, we consider a dataset comprising press releases about health research from different universities in the UK along with a corresponding set of news articles. First, w…