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Quantifying Valence and Arousal in Text with Multilingual Pre-trained
  Transformers

Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers

27 February 2023
Gonccalo Azevedo Mendes
Bruno Martins
ArXivPDFHTML

Papers citing "Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers"

2 / 2 papers shown
Title
Modeling Story Expectations to Understand Engagement: A Generative Framework Using LLMs
Modeling Story Expectations to Understand Engagement: A Generative Framework Using LLMs
Hortense Fong
George Gui
HAI
86
0
0
13 Dec 2024
Fine-grained Affective Processing Capabilities Emerging from Large
  Language Models
Fine-grained Affective Processing Capabilities Emerging from Large Language Models
Joost Broekens
Bernhard Hilpert
Suzan Verberne
Kim Baraka
Patrick Gebhard
Aske Plaat
AI4MH
31
12
0
04 Sep 2023
1