Generative Learning Networks for Text and Impact Optimization

Project: Research

Project Details

Description

GENTIO aims for radical innovation in the way we produce, enrich and analyse digital content. The project will develop a flexible Deep Learning Architecture to unify the understanding of text at three fundamental levels: structure, content and context. The first use case targets the marketing domain. It will experiment with new methods for communication experts to maximize the impact of data-driven publishing. The second use case targets the news media sector, automatically correcting and classifying noisy output from Optical Character Recognition (OCR) systems - using topics extracted from the public debate on other microblogging sites to obtain the required context information.
AcronymGENTIO
StatusFinished
Effective start/end date01/01/202030/06/2023

Collaborative partners

  • webLyzard technology (Project partner) (lead)
  • MODUL Technology GmbH (Project partner)
  • Ketchum Publico Gmbh (Project partner)
  • "Observer" Medienbeobachtung & Analyse GmbH (Project partner)
  • Forschungsinstitut Rechenintensive Methoden der WU Wien (Project partner)

Funding

  • Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie (BMK): €826,290.00

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