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material ID: financialwordembeddings

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FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThis paper presents the approach developed at the Faculty of Engineering of University of Porto, to participate in SemEval 2017, Task 5: Fine-grained Sentiment Analysis on Financial Microblogs and News. …...

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