We present a practical method for explaining deep learning- based text mining with ontology-based information. Our approach uses the recently proposed OntoSenticNet ontology for sentiment mining, and consists of a composite deep learning classifier for sentiment mining, en- dowed with an ontology-driven attention module. The attention module analyzes the attention the neural network pays to semantic labels as- signed to bigrams in input texts.
TNO, the Netherlands Organisation for applied scientific research
https://www.tno.nl/en/
TNO, the Netherlands Organisation for applied scientific research
https://www.tno.nl/en/
