Estimate Emotion Probability Vectors: Interrogating the LLM with an Emotion Eliciting Tail Prompt

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This paper shows how LLMs (Large Language Models) [5, 2] may be used to estimate a summary of the emotional state associated with a piece of text.

This paper is available on arxiv under CC 4.0 license. Authors: D.Sinclair, Imense Ltd, and email: david@imense.com; W.T.Pye, Warwick University, and email: willempye@gmail.com. Table of Links Abstract and Introduction Interrogating the LLM with an Emotion Eliciting Tail Prompt PCA analysis of the Emotion of Amazon reviews Future Work Conclusions Acknowledgments and References 2.

With this combination of hardware and model it took 2 minutes to compute the probabilities of the emotion descriptors in the emotion dictionary given below. 2.1. The Emotion Dictionary The English language is blessed with many words and an extensive literature providing examples of the usage of these words in appropriate contexts. For the purposes of LLMs, it is the context of a word that conveys it’s meaning.

 

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