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Visualizing and Processing Information Not Uttered in Spoken Political and Journalistic Data: From Graphical Representations to Knowledge Graphs in an Interactive Application

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Human-Computer Interaction. Technological Innovation (HCII 2022)

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Abstract

The present interactive application targets to the processing and direct generation and use of information not uttered, converting it into “visible”, processable information in the form of knowledge graphs and, subsequently, training data, for neural networks and other uses. In-depth understanding and un-biased evaluation of interviews and discussions in spoken political and journalistic texts is targeted, especially when an international public is concerned. Special emphasis is placed on parameters concerning Chinese speakers within the international media and community.

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Alexandris, C., Du, J., Floros, V. (2022). Visualizing and Processing Information Not Uttered in Spoken Political and Journalistic Data: From Graphical Representations to Knowledge Graphs in an Interactive Application. In: Kurosu, M. (eds) Human-Computer Interaction. Technological Innovation. HCII 2022. Lecture Notes in Computer Science, vol 13303. Springer, Cham. https://doi.org/10.1007/978-3-031-05409-9_16

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  • DOI: https://doi.org/10.1007/978-3-031-05409-9_16

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