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3DText: Sentence-Level Emotion Detection by Dimas Ananda Radhitya is a document available to read on EtoBox.

What is 3DText: Sentence-Level Emotion Detection about?

The document proposes a model called 3DText to detect emotions in text by mapping text to the 3D VAD model of emotions. It uses datasets like ANEW and WordNet to obtain word-level VAD scores and then aggregates them to get sentence-level VAD scores. The model is evaluated on datasets like ISEAR and EMOBANK. This allows emotion detection incorporating psychological theory at the sentence level without limits on sentence length.

Author

Dimas Ananda Radhitya

Language

EN