Keepin’ it real: Linguistic models of authenticity judgments for artificially generated rap lyrics

Negative-positive-neutral logic provides an alternative framework for fuzzy cognitive maps development and decision analysis. This paper reviews basic notion of NPN logic and NPN relations and proposes adaptive approach to causality weights assessment. It employs linguistic models of causality weights activated by measurement-based fuzzy cognitive maps? concepts values. These models allow for quasi-dynamical adaptation to the change of concepts values, providing deeper understanding of possible side effects. Since in the real-world environments almost every decision has its consequences, presenting very valuable portion of information upon which we also make our decisions, the knowledge about the side effects enables more reliable decision analysis and directs actions of decision maker.

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Systematic Metaphor Analysis as a Method of Qualitative Research

The Qualitative Report ◽

10.46743/2160-3715/2005.1854 ◽

2015 ◽

Author(s):

Rudolph Schmitt

Keyword(s):

Qualitative Research ◽

Cognitive Structures ◽

Metaphor Analysis ◽

George Lakoff ◽

Linguistic Models ◽

Systematic Metaphor Analysis

George Lakoff and Mark Johnsons theory of metaphor (1980, 1999) provides a basis for describing everyday cognitive structures using linguistic models and thus, making it possible to uncover both individual and collective patterns of thought and action. Lakoff and Johnson have not, however, developed a workable system for carrying out qualitative research. This paper outlines the fundamentals of this approach and proposes a procedure for the reconstruction of metaphorical concepts. As is normally the case in qualitative research, such guidelines can only ever represent the interplay between the ability of the researcher to understand the sense of things and the rules of the methodology. An overview of the typical interpretations that a metaphor analysis allows is also given.

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Comparative analysis of the forecast for variation of the parameters of the hybrid linguistic model

System technologies ◽

10.34185/1562-9945-3-122-2019-05 ◽

2019 ◽

Vol 3 (122) ◽

pp. 32-41

Author(s):

Ihor Vsevolodovych Baklan ◽

Tetiana Viktorivna Shulkevych

Keyword(s):

Information Technology ◽

Time Series ◽

Comparative Analysis ◽

Empirical Evidence ◽

Optimal Parameters ◽

Statistical Accuracy ◽

Linguistic Model ◽

Linguistic Approach ◽

Linguistic Models

Using a hybrid linguistic approach to model numerical images in the form of time series using probabilistic grammars based on hidden time series and implement information technology to build sets of linguistic models and their hybrids that describe the dynamics of selected time series of processes of different nature.In the article the results of computational experiments are considered, the quality of forecasting of time series of diverse nature at various parameters was proved. The goal of the current research is to provide empirical evidence of the suitability of using a hybrid linguistic approach for predicting time series.Experimental way to find the optimal parameters of the algorithm. The algorithm was applied to a variety of time series (social, medical, financial and economic), calculated the statistical accuracy of the forecast. Experiments have shown that the algorithm consistently performs the forecast of values in a range of 3-4 steps forward and forecasts the trend change by 3-5 steps.

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