COMPARING DEEP-LEARNING ARCHITECTURES AND TRADITIONAL MACHINE-LEARNING APPROACHES FOR SATIRE IDENTIFICATION IN SPANISH TWEETS

Comparing Deep-Learning Architectures and Traditional Machine-Learning Approaches for Satire Identification in Spanish Tweets

Automatic satire identification can help to identify texts in which the intended meaning differs from the literal meaning, improving tasks such as sentiment analysis, fake news detection or natural-language user interfaces.Typically, satire identification is performed by training a supervised classifier for finding linguistic clues Wine Glasses tha

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Meningite bacteriana recorrente.

Recurrent bacterial meningitis (RBM) is an unusual entity and usually poses a considerable diagnostic challenge.Different conditions can predispose for recurrence of episodes and the isolated pathogen can guide the diagnosis.The aim of this study was to characterize all RBM admitted Stemware to our tertiary paediatric hospital.Retrospective analysi

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WORLD ECONOMIC THOUGHT: MALTHUSIAN SCHOOL AND OUR DAY

The Ball - Field Equipment - Practice Equipment UN report published about 6 years ago offered a forecast of global population dynamic for a few next decades, it states that by 2050 the population of the planet will reach 9,1 bn at the same time the situation on foods market will deteriorate due to a sharp increase in the majority of agricultural pr

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The Influence of Interesterification on the Thermal and Technological Properties of Milkfat-Rapeseed Oil Mixture and Its Potential Use in Incorporation of Model Meat Batters

Enzymatic interesterification gives the possibility to obtain a wide range of lipids with a modified structure.In the present study, model meat batters were produced from chicken breast muscles and enzymatically interesterified fats: milkfat:rapeseed oil (3:2 w/w).Fatty acids composition and their positional distribution in triacylglycerol, melting

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