Emojis exhibit stable semantics and sentiment polarity in financial social media across languages and assets, reducing gaps in zero-shot sentiment transfer when incorporated into models.
arXiv preprint arXiv:2411.05045 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
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UNVERDICTED 2representative citing papers
AnySimLite reduces speech-adjacent classification tasks to text similarity via a dual word/character encoder and reports SOTA-competitive few-shot results at under 1/250 the size of a 7B baseline.
citing papers explorer
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Cross-Cultural Transfer of Emoji Semantics and Sentiment in Financial Social Media
Emojis exhibit stable semantics and sentiment polarity in financial social media across languages and assets, reducing gaps in zero-shot sentiment transfer when incorporated into models.
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AnySimLite: A Lightweight Few-Shot Similarity Encoder for On-Device Speech-Adjacent Classification
AnySimLite reduces speech-adjacent classification tasks to text similarity via a dual word/character encoder and reports SOTA-competitive few-shot results at under 1/250 the size of a 7B baseline.