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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2024 Issue 4, Pages 93–110 (Mi iipr610)

Analysis of textual and graphical information

Substantive criteria for referring statements from texts to “events” and “factors”

I. V. Loginovaa, A. S. Piekalnitsa, E. A. Sabidaevaa, M. S. Antashevaa, L. A. Morozovb

a National Research University Higher School of Economics, Moscow, Russia
b Sberbank, Moscow, Russia

Abstract: The purpose of this paper is to advance and automate language models for extracting statements related to events and factors from text documents using the designed linguistic marker system. The paper presents the outcomes of text-mining models of events and factors extraction approbation on the example of analytical research in human potential, social sciences and humanities. The testing and evaluation of the used linguistic models are performed on the basis of the results comparison obtained in automatic mode, in manual mode (with the participation of expert-analytical validation) and semiautomatic mode (using the implemented system of linguistic markers). The introduced approaches resulted in higher performance in extracting statements containing events and factors.

Keywords: text mining, text analytics, assertion extraction, linguistic marker.

DOI: 10.14357/20718594240408



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