Psychological Emotion Research Articles

Application of Noise Detection Using Confidence Learning in Lightweight Expression Recognition System

Facial expression is an important carrier to reflect psychological emotion, and the lightweight expression recognition system with small-scale and high transportability is the basis of emotional interaction technology of intelligent robots. With the rapid development of deep learning, fine-grained expression classification based on the convolutional neural network has strong data-driven properties, and the quality of data has an important impact on the performance of the model. To solve the problem that the model has a strong dependence on the training dataset and weak generalization performance in real environments in a lightweight expression recognition system, an application method of confidence learning is proposed. The method modifies self-confidence and introduces two hyper-parameters to adjust the noise of the facial expression datasets. A lightweight model structure combining a deep separation convolution network and attention mechanism is adopted for noise detection and expression recognition. The effectiveness of dynamic noise detection is verified on datasets with different noise ratios. Optimization and model training is carried out on four public expression datasets, and the accuracy is improved by 4.41% on average in multiple test sample sets. A lightweight expression recognition system is developed, and the accuracy is significantly improved, which verifies the effectiveness of the application method.

Data Mining and Analysis of Management Theory on the Emotional Recognition of Students' Physical Fitness Improvement.

The improvement of the economic level has brought earth-shaking changes to people's living standards. However, with the improvement of living standards, the pace of life is also accelerating, people's physical and psychological pressure has also increased sharply, and people's physical and mental health problems are also increasing. As an important threshold for talent training schools, real-time monitoring of students' physiques, and effective training of students' physical fitness, so schools need to strengthen the scientific management of students' work and rest and exercise according to management theory. To better pay attention to the correlation between students' physical fitness and psychological emotions, this paper designs a data analysis system for students' physical health based on data mining, analyzes the improvement of students' physical fitness under health management, and then identifies students' emotions according to this to observe the impact of students' physical fitness improvement on emotional changes, so as to effectively improve students' physical health level and mental health level. The experimental results of the research system in this paper show that the improvement of students' physical fitness can promote students' emotional recognition, and its accuracy can be improved by at least 2%, and various types of emotions can be accurately identified, indicating that changes in students' physical fitness have a certain impact on student emotions.

Artificial Intelligence: A Universal Virtual Tool to Augment Tutoring in Higher Education.

Artificial intelligence is an emerging technology that revolutionizes human lives. Despite the fact that this technology is used in higher education, many professors are unaware of it. In this current scenario, there is a huge need to arise, implement information bridge technology, and enhance communication in the classroom. Through this paper, the authors try to predict the future of higher education with the help of artificial intelligence. This research article throws light on the current education system the problems faced by the subject faculties, students, changing government rules, and regulations in the educational sector. Various arguments and challenges on the implementation of artificial intelligence are prevailing in the educational sector. In this concern, we have built a use case model by using a student assessment data of our students and then built a synthesized using generative adversarial network (GAN). The dataset analyzed, visualized, and fed to different machine learning algorithms such as logistic Regression (LR), linear discriminant analysis (LDA), K-nearest neighbors (KNN), classification and regression trees (CART), naive Bayes (NB), support vector machines (SVM), and finally random forest (RF) algorithm and achieved a maximum accuracy of 58%. This article aims to bridge the gap between human lecturers and the machine. We are also concerned about the psychological emotions of the faculty and the students when artificial intelligence takes control.

PSYCHOLOGICAL DISTURBANCES IN KOKOTAIS COMMEMORATION

The article examines the psychological upheavals in the section «Keketudyn ashy» of the epic «Manas». Psychological analysis is one of the most important issues in the study of modern literature. Based on this, the fantasies of the heroes of the epic «Manas», the state of their soul, the reflection to various living conditions were studied using monologues, types of speech, landscapes, portraits, which are artistic details of psychological analysis. Particularly noteworthy is the section «Keketudyn ashy », which is rich in psychological emotions of the characters. The fears of ordinary people towards the Chinese Kalmyks and the fear that young men and women will not be enslaved by slaves of other nationalities are well illustrated. The care of the old man, the father of the Koshoi people and his personal fears is also well shown.

The Moderating Effect of Compassionate Mindfulness on the Psychological Needs and Emotions of Generation Y in the 21st Century in Taiwan.

During the 2020 COVID-19 pandemic in Taiwan, 6.5% of Generation Y required medical treatment for emotional and stress-related mental disorders. This study explores the moderating effect of mindfulness training on psychological needs and emotions to propose effective measures to promote the mental health of Generation Y. This study was carried out by questionnaire, using the data of respondents born in 1980–1999, collected in three different periods for quantitative analysis with compassionate mindfulness as the main variable. The results show that the compassionate mindfulness effect on emotion regulation varies greatly among different educational levels. However, it still plays a positive role in the psychological needs of Generation Y. Most members of Generation Y who receive compassionate mindfulness training have fewer basic needs and more interpersonal trust. They pay more attention to individual-oriented self-realization. Compassionate mindfulness has a greater positive moderating effect on the mental health of women aged 30–39 and those who are highly educated. Compassionate mindfulness has a more positive moderating effect on the psychological needs of members of Generation Y who were born more recently. During the COVID-19 pandemic, providing compassionate mindfulness has a significant positive effect on the prevention of mental disorders of Generation Y in Taiwan.

The ability of psychological flexibility to predict study success and its relations to cognitive attributional strategies and academic emotions

The present study combines two separate research traditions that have been found to explain the way students deal with their university study and other challenges: psychological flexibility and cognitive-attributional strategies. The aim of this study is to explore the interrelationships between students’ psychological flexibility, cognitive-attributional strategies and academic emotions, and their relationship to study success. Further, the study compares students with low, middle and high scores on psychological flexibility. A total of 247 arts students participated in the study. The interrelationships between psychological flexibility, cognitive-attributional strategies, academic emotions, study success and study pace were analysed with correlational analyses and structural equation modelling. Comparisons of different score groups were analysed with one-way ANOVA and Tukeýs tests. The results showed that psychological flexibility, cognitive-attributional strategies and academic emotions are closely related to each other. Psychological flexibility was positively related to success expectations and positive emotions and negatively related to task avoidance and negative emotions.

Study of Nursing Models by Machine Learning in Children with Congenital Esophageal Atresia.

This research paper elucidates the clinical effect of an integrated nursing model of medical care and patient in the diagnosis and treatment of congenital esophageal atresia (CEA). For this purpose, a total of 120 children with CEA were selected as study subjects who were admitted to our hospital (January 2017 to April 2020). They were randomly divided into the control group and observation group. Each group had 60 cases. The control group was given routine nursing, while the observation group adopted the integrated nursing model of medical care. The integrated nursing model had the characteristics of recognizing and managing the CEA quickly and efficiently. Thus, it can help increase the survival rate of infants. This model works along with the parents to provide specialized services to the child. They were tasked to carefully observe the infants as well as calm the parents. They were also given the additional task of keeping track of patients who were currently admitted in the hospital and those who were already discharged. The tracking and communication were done with the help of a communication platform which is WeChat. The rehospitalization rate, 1-hour visit rate, accuracy rate of children with suspected postoperative complications, psychological status of children's parents, medical compliance, and satisfaction were compared between the two groups. The rehospitalization rate in the observation group was lower than that in the control group (P < 0.05). The 1-hour visit rate and accuracy of children with suspected postoperative complications in the observation group were higher than those in the control group (P < 0.05). The anxiety and depression scores of the parents in the observation group were lower than those in the control group (P < 0.05). The compliance and satisfaction of parents in the observation group were higher than those in the control group (P < 0.05). The clinical effect of the integrated nursing model of medical care and patient in CEA was highly satisfactory. It reduces the rehospitalization rate and enables timely diagnosis and treatment of suspicious complications effectively. It also improved parents' negative psychological emotions, compliance, and satisfaction.

The Impact of a Knowledge Discovery-Based Psychoanalytic Intervention in the Treatment of Tuberculosis in University Students with Different Doses of Isoniazid.

Tuberculosis (TB) is an infectious disease that poses a serious threat to the health of the population in China, and TB outbreaks in universities have aroused great concern in society. Psychological emotions have a large impact on the academic lives of university students, and nowadays it is not only labour-intensive but also slow to monitor and analyse and deal with the psychology of university students' daily lives in a uniform manner. If psychological problems are not detected and given feedback in a timely manner, they can have a series of negative effects on the individual university student. In this paper, we apply the Bi-LSTM model and the CNN model neural network algorithm to learn the text data, and finally have 95.55% and 90.03% accuracy in the sentiment analysis experiment, respectively, which provides a feasible solution to solve the batch rapid analysis of the psychological changes reflected in the daily text of university students. Risk communication for TB emergencies should emphasize public participation, timely release of information about the epidemic, and good monitoring of public opinion.

AN AUDIO STUDY OF THE POETS' PUBLICATIONS: "THE APPARENT SECRET IN THE ONE WHO ACHIEVED THE BRILLIANT HONOR FROM THE HEELS OF SHEIKH ABDUL QADIR". FOR THE POET ABU AL-RABI` SULEIMAN AL-HAWATH AL-SHAFSHAUNI, WHO DIED IN 1231 AH / 1816 AD

An audio study of the poets’ relics, “The apparent secret of who attained the splendid honour, following the heels of Sheikh Abd al-Qadir.” This study aims to answer questions that I consider urgent in the literary lesson, which are: To what extent can what a poet writes in prose and what other than poets write as one thing? Does the poet not accompanies when writing prose that musical rhythm he composed in poetry? Or does the writer/poet have two different memories, one for prose and the other for poetry? Or is it the memory that is pregnant with melody, rhythm, and the music itself accompanying it while it sings, and then the prose writings of poets may be a reflection of the rhythmic poetic structure, even if the contents differ? While I am waiting for other researchers to devote themselves to more scrutiny in this matter, by conducting audio studies on the poets’ writings, I present this audio study of one of the most important Moroccan virtues books in the modern era, which is the book: From the heels of Sheikh Abdul Qadir “by the poet and writer Abu Al-Rabee’ Suleiman Al-Hawat Al-Shafshauni. There is no doubt that the phonetic analysis of the texts of our written heritage from distinguished poets, including their sounds and rhythms, helps a lot in understanding their nature, and in revealing the aesthetic aspects in them, in addition to what that reveals the psychological emotions and emotions that govern its creator, which push him to choose sounds And certain rhythms, and it is not hidden that the substance of the sound is the manifestation of psychological emotion, and that this emotion, by its nature, is a reason for diversifying the sound with what it brings out in it of counterpoint, alliteration, synonymy and other things.

Construction of Relationship Model between College Students' Psychological Status and Epidemic Situation Based on BP Neural Network.

In view of the impact of COVID-19 on the mental health of college students, this paper proposes a study on the relationship between psychological status and epidemic situation of university students based on BP neural network, so as to provide theoretical basis for universities to take targeted mental health education. This paper investigates the effects of COVID-19 on the psychological emotions of college students. According to the behavior and psychological characteristics of college students, the relevant investigation results are obtained through event monitoring, early warning, and usual performance, and a relationship model between college students' psychological status and epidemic situation based on BP neural network is constructed. This paper studies several factors through the relationship model and uses the principal component analysis method to analyze the impact of various factors on college students' psychology. According to the model prediction and result analysis, it concluded that the influence of COVID-19 should focus on improving the professional quality, physical quality, humanistic quality, and moral quality of university students, so as to improve the stability of colleges and universities in the event of public health emergencies. The model constructed in this paper can provide reference for carrying out mental health education and formulating effective intervention programs.

Psychological and Emotional Recognition of Preschool Children Using Artificial Neural Network.

The artificial neural network (ANN) is employed to study children’s psychological emotion recognition to fully reflect the psychological status of preschool children and promote the healthy growth of preschool children. Specifically, the ANN model is used to construct the human physiological signal measurement platform and emotion recognition platform to measure the human physiological signals in different psychological and emotional states. Finally, the parameter values are analyzed on the emotion recognition platform to identify the children’s psychological and emotional states accurately. The experimental results demonstrate that the recognition ability of children aged 4–6 to recognize the three basic emotions of happiness, calm, and fear increases with age. Besides, there are significant age differences in children’s recognition of happiness, calm, and fear. In addition, the effect of 4-year-old children on the theory of mind tasks is less than that of 5- to 6-year-old children, which may be related to more complex cognitive processes. Preschool children are experiencing a stage of rapid emotional development. If children cannot be guided to reasonably identify and deal with emotions at this stage, their education level and social ability development will be significantly affected. Therefore, this study has significant reference value for preschool children’s emotional recognition and guidance and can promote children’s emotional processing and mental health.

Mental and Emotional Recognition of College Students Based on Brain Signal Features and Data Mining

Nowadays, people pay more and more attention to the psychological situation of college students. Using data mining technology to model and analyze the collected psychological data of college students is a research hotspot in psychology and computer science. In addition, the essence of human emotional change is the higher nervous activity in the cerebral cortex. Electroencephalography (EEG) has become an important feature signal for emotion recognition because of its high time resolution and portability and practicality. Therefore, to solve the problem that the accuracy and generalization of the existing research models are not ideal, a method of college students’ psychological emotion recognition based on EEG signal features and data mining is proposed. Firstly, a feature selection method based on sparse learning is used to find out a few features from the high-dimensional feature space that contribute greatly to the reconstruction of category information so as to quickly acquire a few key emotion-related features. Then, the entropy-weighted clustering algorithm is combined with sparse learning feature selection, and the local structure of heterogeneous data is divided. Experimental results show that, compared with traditional methods, the proposed method has stronger applicability and higher accuracy of five categories of emotions, which provides a valuable reference for the evaluation of depression and anxiety of college students based on brain signal characteristics.

The Predictive Effect of Negative Psychological Emotions of Anxiety and Depression on the Poor Prognosis of CHD Patients with Stent Implantation and the Improvement of Clinical Intervention Measures.

Objective To explore the predictive effect of negative emotions such as anxiety and depression on the poor prognosis of coronary heart disease (CHD) patients with stent implantation and to seek the improvement of clinical intervention measures. Methods A total of 303 patients with CHD and PCI were recruited from February 2019 to April 2021. The risk factors of CHD such as anxiety and depression, age, sex, smoking and drinking, BMI, hypertension, diabetes, dyslipidemia, and family history of CHD were collected. Meanwhile, clinical data such as laboratory examination, angiography, diseased vessels, and stent types were collected. The patients were followed up for 1 year, and the medical records, hospitalization records, or death records were checked by telephone interview once a month. Major adverse cardiovascular events (MACE) such as emergency and causes, readmission times and causes, new nonfatal myocardial infarction, stent restenosis, heart failure, arrhythmia, and death were recorded. The incidence of anxiety and depression in patients after PCI was counted, and Cox regression was applied to analyze the influence and prediction of anxiety and depression on MACE in patients with CHD stent implantation and improve clinical intervention measures. Results Compared with those without MACE, anxiety (56.25% vs 30.63%), depression (62.5% vs 22.88%, P < 0.01), anxiety combined with depression (46.88% vs 15.50%, P < 0.01), and hypertension history (71.8% vs 39.11%, P < 0.01) were more common in patients with MACE. Uncorrected Cox proportional hazard regression found that people with anxiety had a higher risk of developing MACE than those without anxiety (HR 3.181, P < 0.01). Multiple Cox proportional hazard regression analysis of anxiety showed that anxiety was an independent predictor of cumulative MACE (P < 0.01). The risk of developing MACE in patients with anxiety was 3.742 times higher than that in patients without anxiety (P < 0.01). Uncorrected Cox hazard regression analysis showed that people with depression had a higher risk of developing MACE than those without depression (HR 5.434, P < 0.01). Furthermore, the results also uncovered that depression was an independent predictor of cumulative MACE (P < 0.01). The risk of MACE in patients with depression was 3.087 times higher than that in patients without depression (P < 0.01). Cox hazard regression showed that the risk of MACE in patients with anxiety and depression was significantly higher than that in patients without anxiety and depression (HR 4.642, P < 0.01). After screening, it was found that anxiety with depression could predict the occurrence of MACE (P < 0.01). The risk of MACE in patients with anxiety and depression was 3.702 times higher than that in patients without anxiety and depression (P < 0.01). Cox regression analysis showed that the risk of MACE with only anxiety and depression was 2.793 times higher than that without anxiety and depression (95% CI 0.914 8.526), with no statistical significance (P > 0.05), and the risk of MACE with depression without anxiety was significantly higher than that without anxiety and depression (P < 0.01). The risk of MACE in patients with anxiety and depression was 7.303 times higher than that in patients without anxiety and depression (P < 0.01). Conclusion Negative emotions such as anxiety and depression can increase the risk of poor prognosis of patients with CHD. Therefore, in clinical work, in addition to routine treatment and nursing during hospitalization, it is recommended to screen patients with depression in CHD patients. Medical staff should use simple and effective assessment tools in time and take active measures to improve the depression of patients. This trial is registered with ChiCTR2200055645.

Research on the Influence of Visual Factors on Emotion Regulation Interaction.

To guide the design direction of emotion regulation products that improve the positive emotions of users, investigation into the correlation between relevant visual factors and multi-dimensional complex emotions is needed. In the present study, an extended product emotion measurement method was adopted to describe the multi-dimensional emotional set of each influencing factor and calculate their weight according to the order. The positive and negative emotion indicators of all influencing factors were compared and the evaluation and ranking factors that affect users’ emotional value of emotion regulation products were analyzed. The experimental results reveal that specific emotion mapping scenes on positive emotion are the most significant among the key factors affecting user emotion. Further, the influence of emotional stickers, interactive data visualization, and text on positive emotions decreased in turn. The influence of emotional text on positive emotion was the lowest. Through investigating the visual factors that affect the psychological emotions of users, the development of emotion regulating products could be guided in a more scientific and reasonable manner.

Research on the Mental Health Construction Path of Left-Behind Children in the Post-Poverty Alleviation Era-- Based on the Investigation of the Status Quo of Primary Education in Yunnan Province

With the temporary victory of the task of poverty alleviation through education in China, great achievements have been made in the material assistance of schools and students, and poverty alleviation through education has entered a new historical stage. Early education poverty alleviation mainly solves the material problems of children's schooling and effectively guarantees the right of school-age children. However, with the development of education poverty alleviation, some new problems have emerged for left behind children. For example, it is difficult to take into account the help and guidance of students' learning interests, psychological emotions and other dimensions. Many students choose to drop out of school because of psychological problems such as inferiority and weariness. When the needs of students at the material level are met to a certain extent, higher-level spiritual needs will be generated. Whether the high-level needs can be responded and met will have a direct and important impact on students' social, healthy psychology, social emotions and behaviors. Through interviews with primary school teachers and managers in Yunnan Province, and a questionnaire survey of some left behind children in primary schools, we accurately grasp the spiritual needs and psychological status of left behind children in the post poverty alleviation era. Based on Maslow's hierarchy of needs theory, we propose a targeted path for the construction of psychological health of left behind children.

Effectiveness of 6 weeks of vestibular exercises as adjunctive therapy in the management of depression, anxiety, and stress in gastric ulcer patients

Background: Vestibular stimulation was reported to inhibit the stress axis and brings individual stress to lower levels. This is very beneficial as the management of psychological factors is equivalently important in the management of peptic ulcers. Aims and Objectives: The present study was undertaken to observe the effectiveness of vestibular exercises in the management of depression, anxiety, and stress in gastric ulcer patients. Materials and Methods: A total of 20 gastric ulcer patients without severe complications were part of the study after obtaining written informed consent. After recruiting, the participants were randomly assigned into two groups with ten participants in each group. Standard vestibular exercises mentioned in the literature were adopted. Each session of exercises comprises 45 min. Two sessions per week were administered to the participants for a period of 1 month. Results: Depression, anxiety, and stress scores were not significantly different between the control and intervention groups before the intervention. There was a significant decrease in depression, anxiety, and stress in the intervention group followed by the intervention. Conclusion: The present study results showed the beneficial effects of vestibular exercises in the management of negative psychological emotions such as depression, anxiety, and stress in patients with gastric ulcers. There is a need for large-scale studies in this area to recommend the adoption of vestibular stimulation in the management of gastric ulcers.

Comprehensive Online Management Based on Cloud Platform for Breast Cancer Patients Using Dual-Targeted Therapy with Macromolecular Monoclonal Antibodies

Objective: The purpose of the study was to explore the application effects of the cloud platform-based comprehensive online management for breast cancer patients using dual-targeted therapy with macromolecular monoclonal antibodies. Methods: 120 breast cancer patients treated by dual-targeted therapy with macromolecular monoclonal antibodies were managed by a cloud platform from March to November 2019. Comprehensive online management included consultation about drugs and side effects and frequently asked questions in the dual-targeted therapy with macromolecular monoclonal antibodies. Results: In the consultation about drugs and side effects, there were five patients with fever, neutrophil, cough, and fatigue; 24 with diarrhea; 25 with nausea; 11 with oral mucosal inflammation; 10 with rashes and dry skin; 8 with insomnia; and 1 with palpitation. Moreover, 110 patients with anxiety about the missed or delayed treatment were properly handled. Conclusion: The comprehensive online management of dual-targeted therapy with macromolecular monoclonal antibodies based on the cloud platform is helpful to satisfy the at-home breast cancer patients’ needs, ensure the continuity of dual-targeted therapy with macromolecular monoclonal antibodies for breast cancer patients, prevent misinformation, alleviate patients’ negative psychological emotions, and reduce patients’ economic losses. The online cloud platform integrated management model is crucial for managing patients with breast cancer treated by dual-targeted therapy.

The Role of Establishing Neurosurgical Specialist Nurse Working Group in the Recovery and Prevention of Negative Psychological Emotion after Meningioma Surgery.

In this research paper, we will explore the role of establishing a neurosurgical specialist nurse working group in the recovery and prevention of negative psychological emotions after meningioma surgery. For this study, 42 meningioma patients who were treated before the establishment of a neurosurgery specialist nurse working group from January 2019 to December 2019. They were selected as the control group. In contrast, 42 meningioma patients admitted after the establishment of the neurosurgery specialist nurse group from January 2020 to December 2020 were selected as the study group. The postoperative recovery (time of stay in the intensive care unit, time of first eating, wakeup time, time of defecation for the first time, and hospitalization time), short-term prognosis, and nursing satisfaction scores of the two groups were calculated, and the post-traumatic stress disorder scale (PTSD-SS), medical coping style questionnaire (MCMQ), and National Institutes of Health Stroke Scale (NIHSS) were compared. Also, the changes in the self-rating anxiety scale (SAS) and self-rating depression scale (SDS) score contributes to the comprehensive analysis of the role of the establishment of neurosurgical specialist nurse working group in the recovery and prevention of negative psychological emotion after meningioma operation. The satisfaction scores in the study group of patients in physical care, receiving information, support, respect, and nursing process were higher than the control group probability (P < 0.05). The first feeding time, defecation time, out of bed, the stay time in the intensive care unit, and the hospitalization time of the study group were shorter than those of the control group (P < 0.05). Before nursing, there was no difference in NIHSS score, SAS score, and SDS scores between the two groups. However, after nursing, the NIHSS score, SAS score, and SDS score of the study group were fairly lower than the control group. Moreover, the Karnofsky functional status scale (KPS) scores of the two groups increased gradually. The KPS scores of the study group at 1 month, 2 months, and 3 months after operation were significantly higher than those of the control group (P < 0.05). Before nursing, there was no significant difference in the scores of post-traumatic stress disorder between the two groups (P > 0.05). After nursing, the scores of subjective evaluation, symptom avoidance, repeated experience, and social dysfunction in the study group were lower than those in the control group (P < 0.05). Before nursing, there was no significant difference in coping scores between the control group and the research group (P > 0.05), but after nursing, the avoidance and compliance scores of the research group were significantly higher than those of the control group (P < 0.05).Similarly, the scores of avoidance and yield in the study group were significantly lower than those in the control group (P < 0.05). In the study group, 1 patient had an incision infection and 1 patient had epilepsy, and the total incidence of postoperative complications was 4.76%. In the control group, 4 patients had incision infection, 1 case of an intracranial hematoma, 3 cases of deep venous thrombosis, and 3 cases of epilepsy. The total incidence of postoperative complications in the study group was 26.19%, while the incidence of postoperative complications in the study group was lower than in the control group (P < 0.05).

GameEmo-CapsNet: Emotion Recognition from Single-Channel EEG Signals Using the 1D Capsule Networks

Human emotion recognition with machine learning methods through electroencephalographic (EEG) signals has become a highly interesting subject for researchers. Although it is simple to define emotions that can be expressed physically such as speech, facial expressions, and gestures, it is more difficult to define psychological emotions that are expressed internally. The most important stimuli in revealing inner emotions are aural and visual stimuli. In this study, EEG signals using both aural and visual stimuli were examined and emotions were evaluated in both binary and multi-class emotion recognitions models. A general emotion recognition model was proposed for non-subject-based classification. Unlike in previous studies, a subject-based testing was performed for the first time in the literature. Capsule Networks, a new neural network model, has been developed for binary and multi-class emotion recognition. In the proposed method, a novel fusion strategy was introduced for binary-class emotion recognition and the model was tested using the GAMEEMO dataset. Binary-class emotion recognition achieved a classification accuracy which was 10% better than the classification performance achieved in other studies in the literature. Based on these findings, we suggest that the proposed method will bring a different perspective to emotion recognition.

ЛІНГВО-РИТОРИЧНІ ЗАСОБИ КОМУНІКАТИВНОЇ ОСОБИСТОСТІ: ПРАГМАТИЧНИЙ ТА ПЕРЕКЛАДАЦЬКИЙ АСПЕКТИ

The article analyzes rhetorical techniques, speech strategies based on the presentation of the new phone iPhone 13. The article deals with the concept of linguistic strategies, such as strategies of persuasion, strategy of information and intellectual setup, strategy for designing emotional states, which are the basic concepts of psycholinguistics. Language means of lingual-rethorical strategies and a number of basic concepts that construct certain states are investigated, such as positive emotions of happiness and love, negative states of sadness and fear or emotion of uncertainty, which cause doubt, and so on; they intend to induce various psychological emotions in the audience. Such strategies are used by marketers to achieve an effective impact on the addressee to provoke it to the desired action. The article revealed the concept of "suggestion" and found that the rhetorical strategy of communicative influence is realized through certain receptions, such as rhetorical questions, the use of estimation vocabulary and the use of conceptual metaphors. Rhetorical strategies for designing psychological states are also analyzed, they are implemented by rational arguments from experience or definitions and emotional arguments based on the values ​​of a particular audience.