Sebastián Sierra

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We present a model to perform authorship attribution of tweets using Convolutional Neural Networks (CNNs) over character n-grams. We also present a strategy that improves model interpretability by estimating the importance of input text fragments in the predicted classification. The experimental evaluation shows that text CNNs perform competitively and are(More)
Social media data allows researchers to establish relationships between everyday language and people’s sociodemographic variables, such as gender, age, language variety or personality. These variables configure social groups, where author profiling attempts to exploit the idea that they share a common language. This work describes our proposed method for(More)
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