Texts and data mining and their possibilities applied to the process of news production
PDF (Português (Brasil))

Palabras clave

Journalism
data mining
knowledge
technology
cognitive sciences

Cómo citar

Lima Jr, W. T. (2008). Texts and data mining and their possibilities applied to the process of news production. Brazilian Journalism Research, 4(1), 104–120. https://doi.org/10.25200/BJR.v4n1.2008.136

Resumen

The proposal of this essay is to discuss the challenges of representing in a formalist computational process the knowledge which the journalist uses to articulate news values for the purpose of selecting and imposing hierarchy on news. It discusses how to make bridges to emulate this knowledge obtained in an empirical form with the bases of computational science, in the area of storage, recovery and linked to data in a database, which must show the way human brains treat information obtained through their sensorial system. Systemizing and automating part of the journalistic process in a database contributes to eliminating distortions, faults and to applying, in an efficient manner, techniques for Data Mining and/or Texts which, by definition, permit the discovery of nontrivial relations.
https://doi.org/10.25200/BJR.v4n1.2008.136
PDF (Português (Brasil))

Copyright for articles published in this journal is retained by the authors, with first publication rights granted to the journal. By virtue of their appearance in this open access journal, articles are free to use, with proper attribution, in educational and other non-commercial settings.

 

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.