Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis
Paper summary A model for document sentiment classification which can also return sentence-level sentiment predictions. They construct sentence-level representations using a convnet, use this to predict a sentence-level probability distribution over possible sentiment labels, and then combine these over all sentences either with a fixed weight vector or using an attention mechanism. They release a new dataset of 200 documents annotated on the level of sentences and discourse units. https://i.imgur.com/A6YpmLU.png
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Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis
Stefanos Angelidis and Mirella Lapata
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CL, cs.IR, cs.LG

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Summary by Marek Rei 6 months ago
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