ZREC architecture for textual sentiment analysis

We present recent results of the research project ZREC aimed at psycho-social phenomena (group polarization, belief echo chamber and confirmatory bias) analysis based on bio-inspired computing methods. We present two updated pipeline solutions to work with bio inspired AI methods and data gathering tools integrated in a complex (but simple to implement) vertical information system. The scope of the investigated phenomena is reduced to the aspect based sentiment analysis with an integration of methods covering named entity recognition and relation extraction. We present a simple ontology addition to group polarization in the last year due to COVID pandemic and stress the importance of project in the social and IT sphere and multi-tier cooperation. We also provide introductory results based on test data using several deep learning architectures and demonstrating that the presented approach is robust and functional. Copyright © 2021 for this paper by its authors.