Papers with automatic identification of emotions

1 papers
Misery Loves Complexity: Exploring Linguistic Complexity in the Context of Emotion Detection (2023.findings-emnlp)

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Challenge: a negative emotion is a cognitive bias that affects how we express thoughts and opinions online . a recent study shows that negative words generate more engagement and clicks than positive ones .
Approach: They propose to use readability and linguistic complexity metrics to better understand emotions . they propose to fine-tune three state-of-the-art transformers to detect emotions based on a dataset .
Outcome: The proposed model fails to predict emotions on complex texts, the authors show . they also show that more advanced models fail to predict complex texts .

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