Semantic and Lexical Text Analyzer

  • Marcos Servet
    University of Salamanca marcos_ss[at]
  • David Martín
    University of Salamanca
  • Daniel Pérez
    University of Salamanca


A multi-agent systems is described that analyzes texts from two points of view: on the one hand in a lexical and on the other in a semantic way. The main purpose of the system is the efficient processing of the inputted text in order to analyzing it, and as a result, outputting it in the right way. That means that after analyzing each phrase of the imputed text, the main agent will delete each wrong phrase. Agents will exchange messages trying to stably which phrase is correct or incorrect. The system will not only remove wrong phrases, it will also make a list with all the removed ones and the reasons that made the main agent discard them so the person that inputted the text can know why those phrases were in a wrong way.
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Servet, M., Martín, D., & Pérez, D. (2018). Semantic and Lexical Text Analyzer. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7(4), 27–34.


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