Cognitive Developing of Semiotic Data in Computer-Based Communication (Signs, Concepts, Discourse)

Olyanitch, Andrew V.; Khachmafova, Zaineta R.; Makerova, Susanna R.; Akhidzhakova, Marjet P.; Ostrovskaya, Tatiana A.

doi:10.1007/978-3-030-29750-3_9

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…The work [4] can be considered a systematic review of the well-known technologies for creating INS for processing text information, including the formation of case papers, preprocessing of source data, architecture and hyperparameters of artificial neural networks (ANN). It examines computer-based technologies for text information analysing, including language-adapting symbols and structures, new definitions, and contexts [7], using Python libraries such as Keras, ScikitLearn, NLTK, Gensim, spaCy, and NetworkX [6]. ANN researchers note the possibility of using neural network approaches for text processing in natural languages (NLP -Natural Language Processing) and artificial intelligence (AI) methods to identify the target content [9,10].…”

Section: The Use Of Artificial Neural Network In Medical and Sociolomentioning

confidence: 99%

“…Publications of Russian and foreign scientists-sociologists, psychologists, and philologists [7,8,9], who have created a number of methods for deep analysis of emotions and tonality of texts in the Internet media, including cognitive and interpretive decoding, are devoted to substantiating approaches and methods for studying the content of Internet content [8]. The significance of the development of algorithms and methods of monitoring and neural network analysis for the study of the socio-psychological state of society is determined by their ability to identify the deep internal characteristics of texts downloaded from numerous Internet resources using pre-trained neural networks.…”

Section: Introductionmentioning

confidence: 99%

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Neural Network Algorithms and Methods for Monitoring the Psychological State of Society During Epidemics

Rogachev

Мазаева

2021

BIO Web Conf.

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The article presents the issue of monitoring the sociopsychological state of society in the period of epidemics by means of neural network algorithms and methods. Publications of sociologists, psychologists, and philologists, who have created a number of methods for in-depth analysis of emotions and tonality of texts in the Internet media, including cognitive and interpretive decoding, are devoted to substantiating approaches and methods for studying the content of Internet content. The purpose of the study is to substantiate the methods and computer tools for studying the socio-psychological state of society in crisis situations, in particular epidemics, based on neural network technologies based on Internet resources. The article considers methodological approaches and particular methods of their computer implementation. It is shown that for the computer analysis of the psychological state of society in the context of the epidemic, it is necessary to adapt the methodology for designing neural network technologies, as well as systems for collecting and textual analysis of the content of electronic and Internet resources. An effective approach to creating such systems is embedding, which uses a dense vector representation of tokens in a multidimensional space, the dimension of which should be selected experimentally in the process of training and testing the developed artificial neural networks (ANN). For contextual neural network analysis, a multiclass-oriented ANN with regularization layers of the form “SpatialDropout1D”can be used. The neural network architecture can be built on fully connected layers with an activation function of the “ReLU” type. The scientific and applied significance of the results of neural network analysis based on Internet resources is the possibility of obtaining classified assessments and segmentation of target information about the psychological state of society during periods of epidemics. This information can be used to effectively counter information threats to society.

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Section: The Use Of Artificial Neural Network In Medical and Sociolomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Neural Network Algorithms and Methods for Monitoring the Psychological State of Society During Epidemics

Rogachev

Мазаева

2021

BIO Web Conf.

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“…The emotional state of a person is fully reflected in the literary text [13]. It is in the literary text that "a certain mental stereotype of emotional situations is reflected, which is associated with national, social, historical and other factors that determine the behavior of an individual" [14].…”

Section: The Main Partmentioning

confidence: 99%

Means of expressing emotions in the engineering profession

2020

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The paper examines the language means representing indignation emotion in art communication on the basis of material of the Russian and German languages. The purpose of the paper is to describe and analyze the language means of objectification of an emotional condition of indignation the artistic discourse in the author`s and character’s speech. To achieve the goal the following methods of research are used: descriptive, contextual and stylistic-pragmatic analyses and linguistic observation technique. Fiction texts of classical and modern literature in the Russian and German languages have served as the practical material for this research. It has been established that the emotional condition of indignation in the artistic discourse is expressed by verbal and non-verbal means through the direct nomination of this emotion, as well as by means of the description. The theoretical importance of the research lies in the studying of the mechanisms of linguistic indignation emotion expression means in the artistic discourse.

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The gender specifications of the emotional representation in a communication space

et al. 2021

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The purpose of the article is to describe the gender peculiarities of the objectification of emotions in the verbal and non-verbal aspects of the communicative behavior of female and male characters in a literary text. Of interest is the study of the features of the representation of emotions in the literary text, taking into account the factor of gender influence on the communicative behavior of a person and the choice of language means. Text fragments which most clearly described the emotional experiences and states of female and male characters were selected by a continuous sampling method from the modern literary compositions of the 20th - 21st centuries written in Russian by women and men. Features of emotion explication were analyzed taking into account gender identity in texts of literary prose. Gender preferences in the choice of language means of expressing emotions in speech were identified. The following research methods were used to achieve the objectives: a descriptive method involving analysis, comparison and classification of language facts; contextual analysis method. The practical significance of the work is the possibility of applying the main conclusions and results of the investigation in theoretical courses in linguistic studies of emotions and gender.

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Cognitive Developing of Semiotic Data in Computer-Based Communication (Signs, Concepts, Discourse)

Cited by 5 publications

References 8 publications

Neural Network Algorithms and Methods for Monitoring the Psychological State of Society During Epidemics

Neural Network Algorithms and Methods for Monitoring the Psychological State of Society During Epidemics

Means of expressing emotions in the engineering profession

The gender specifications of the emotional representation in a communication space

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