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- W3155871672 abstract "The paper proposes a method for automatic recognition of reactions to frustration in texts. It also presents the results of a study that allows catching linguistic patterns for extrapunitive responses (E-reactions) aimed at protecting the “Self”; and shows the results of experiments with the Rosenzweig picture-frustration test protocols. We use a linguistic analyzer, “PCA Machine”, which considers the wide range of multi-level features aggregated by the relational-situational model to process the texts with E-reactions to frustration. Then we developed a set of templates, which can catch the revealed linguistic patterns and use them together with machine learning models. This approach turns out to be new for modeling the reasoning of expert cognitive research. Experimental results show that in most cases, the templates allow detecting E-reactions. Moreover, the share of unrecognized reactions is small; however, to increase the recognition reliability, it is necessary to consider additional features, including the context of the analyzed text fragments." @default.
- W3155871672 created "2021-04-26" @default.
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- W3155871672 date "2021-01-01" @default.
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- W3155871672 title "Method for Automated Recognition of Frustration-Derived Aggression in Texts" @default.
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- W3155871672 doi "https://doi.org/10.1007/978-3-030-71637-0_76" @default.
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