Jorge A. Balazs

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Interest in Opinion Mining has been growing steadily in the last years, mainly because of its great number of applications and the scientific challenge it poses. Accordingly, the resources and techniques to help tackle the problem are many, and most of the latest work fuses them at some stage of the process. However, this combination is usually executed(More)
In this paper we present the model used by the team Rivercorners for the 2017 RepEval shared task. First, our model separately encodes a pair of sentences into variable-length representations by using a bidirectional LSTM. Later, it creates fixed-length raw representations by means of simple aggregation functions, which are then refined using an attention(More)
Video reviews are the natural evolution of written product reviews. In this paper we target this phenomenon and introduce the first dataset created from closed captions of YouTube product review videos as well as a new attention-RNN model for aspect extraction and joint aspect extraction and sentiment classification. Our model provides state-of-the-art(More)
In this work, a new approach for analysing the Web user behavior is introduced, consisting of a physiological-based click intention assessment, based on pupil dilation and electroencephalogram (EEG) responses evaluation. For this, an empirical study was conducted, where the mentioned responses of 21 subjects were recorded while performing diverse(More)
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