• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.369-376
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• 2021

One of the most active areas of research in the field of affective computing and signal processing is emotion recognition. This paper proposes emotion recognition of low-resource (Sindhi) language. This work's uniqueness is that it examines the emotions of languages for which there is currently no publicly accessible dataset. The proposed effort has provided a dataset named MAVDESS (Mehran Audio-Visual Dataset Mehran Audio-Visual Database of Emotional Speech in Sindhi) for the academic community of a significant Sindhi language that is mainly spoken in Pakistan; however, no generic data for such languages is accessible in machine learning except few. Furthermore, the analysis of various emotions of Sindhi language in MAVDESS has been carried out to annotate the emotions using line features such as pitch, volume, and base, as well as toolkits such as OpenSmile, Scikit-Learn, and some important classification schemes such as LR, SVC, DT, and KNN, which will be further classified and computed to the machine via Python language for training a machine. Meanwhile, the dataset can be accessed in future via https://doi.org/10.5281/zenodo.5213073.

• SUVANNABHUMI
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• v.14 no.1
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• pp.133-160
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• 2022

This paper examines narratives of women's marginal position in Bao Ninh's Short Stories and Svetlana Alexievich's Unwomanly Face of War from a feminist narratological approach. In analyzing voices of marginalized women, direct and indirect descriptions of women's beauty and pain, and private-public narratives of women's love stories, this paper aims to identify presentations of women's real authority in the text written by a male author, Bao Ninh, and in the one by a female author. The paper argues that juxtaposing these texts reveals an overturn of the traditional conception of sexual and gender differences. Specifically, distinguishing between male/female discourse does not show powerful /nonpowerful language, but recognizes the real authority of each type of discourse based on sexual differences. The writing also illustrates that masculine language becomes powerless and deficient in the women's world; meanwhile, in writing about herself, woman establishes a type of a powerful feminine discourse, which blends both emotional, enthusiastic, and gossipy characteristics of female language and direct, rational, and strong ones of male language. Thus, the feminists' radical segregation on male/female discourses to overturn masculine authority and create a language for women at par with men has been clearly shifted when comparing the two writers' texts based on the juxtapositional model of the comparative literature.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.831-834
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• 2000

The sign-language tan be used a9 an auxiliary communication means between avatars of different languages. At that time an intelligent communication method can be also utilized to achieve real-time communication, where intelligently coded data (joint angles for arm gestures and action units for facial emotions) are transmitted instead of real pictures. In this paper we design a gesture-emotion keyframe editor to provide the means to get easily the parameter values. To calculate both joint angles of the arms and the hands and to goner-ate the in keyframes realistically, a transformation matrix of inverse kinematics and some kinds of constraints are applied. Also, to edit emotional expressions efficiently, a comic-style facial model having only eyebrows, eyes nose, and mouth is employed. Experimental results show a possibility that the editor could be used for intelligent sign-language image communications between different lan-guages.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.379-383
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• 2021

감정 분석은 텍스트 데이터에서 인간이 느끼는 감정을 다양한 감정 유형으로 분류하는 것이다. 그러나 많은 연구에서 감정 분석은 긍정과 부정, 또는 중립의 극성을 분류하는 감성 분석의 개념과 혼용되고 있다. 본 연구에서는 텍스트에서 느껴지는 감정들을 다양한 감정 유형으로 분류한 감정 말뭉치를 구축하였는데, 감정 말뭉치를 구축하기 위해 심리학 모델을 기반으로 분류한 감정 어휘 사전을 사용하였다. 9가지 감정 유형으로 분류된 한국어 감정 어휘 사전을 바탕으로 한국어 영화 리뷰 말뭉치에 9가지 감정 유형의 감정을 태깅하여 감정 분석 말뭉치를 구축하고, KcBert에 학습시켰다. 긍정과 부정으로 분류된 데이터로 사전 학습된 KcBert에 9개의 유형으로 분류된 데이터를 학습시켜 기존 모델과 성능 비교를 한 결과, KcBert는 다중 분류 모델에서도 우수한 성능을 보였다.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.714-725
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• 2013

The purpose of this study was to investigate language receptive characteristics of children with multicultural families in according to living areas. The subjects were 132 mother with children for living multicultural families 3 to 6 years old. The results were as follows. First, the differences of home environment on nationality, all variables were significant differences on emotional atmosphere, experience's variety, and play data in statistically. Second, the differences of home environment on age all variables were significant differences on permission, independent's upbringing emotional atmosphere, experience's variety and physical environment in statistically. Third, the differences of home environment on educational background, all variables were significant differences on predictable environments, developmental stimulation, quality of language environments, permission, independent's upbringing emotional atmosphere, experience's variety, physical environment and play data in statistically. Fourth, the differences of home environment on communication method in home, all variables were significant differences in statistically as communication(general korean) they use in home. Fifth, the differences of home environment on occupation existence, all variables were not significant differences in statistically.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.132-141
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• 2015

Smart television(TV) is replacing the traditional television model and the importance of user experience(UX) is rising. User experience evaluates the emotion state of users such as immersion, pleasure, and interest. User experience together with usability is a principle to be considered as for designing a smart television. It contributes to improve user satisfaction and lead to the long-term purchase. User experience is more difficult to measure than usability, because UX evaluation requires to biological and psychological techniques. However, the disadvantages of these physiological and psychological techniques require high experimental costs and the restriction of experimental environment. The objective of this paper is first to review conventional methods regarding UX evaluation and suggests a new method for measuring the UX of smart TV which detects keywords related emotional representation. The text is acquired from purchase postscripts of smart TV in the Internet shopping malls. This method costs less than the questionnaire survey to detect emotion.

• Korean Journal of Child Studies
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• v.9 no.2
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• pp.1-28
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• 1988

The purpose of this study was to develop a behavior rating scale for the evaluation of children's development for utilization by preschool teachers. The procedures for the study included content validation, pilot test, and main study. A total of 97 items were retained after the content validation and pilot test. The items of the scale were grouped into five areas (physical, language, cognitive, emotional, and social development) and 11 sub-areas. The resulting "Behavior Rating Scale for Preschool Children" was administered to 479 boys and girls, 3-6 through 6-5 years of age, selected from 10 different kindergartens and early education centers in Seoul, Pusan, and Chonju. The analysis of data was done with SPSS computer programs, including item analysis, Cronbach's ${\alpha}$ for reliability, factor analysis to test construct validity, two-way ANOVA to test age and sex differences, and percentile norms. The 97 items of the scale were found to be satisfactory in terms of item discrimination with indices ranging from .31 to .73. Cronbach's ${\alpha}$ was .98 for the total scale and ranged from .87 to .93 in specific domains, which was considered satisfactory. The factors extracted from each area were consistent with the educational objectives of the Yonsei Open Education Program except for emotional development. The intercorrelations among the domains were relatively high, ranging from .56 to .81. Age differences were significant in cognitive, physical, and language development, but not significant in social and emotional development. Sex differences were significant in all areas with girls higher on the average than the boys. Percentile ranks were drived from the total score for each age group and quartiles were calculated for sub-scores in each domain.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.67-80
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• 2023

Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.

• Journal of English Language & Literature
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• v.55 no.1
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• pp.107-128
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• 2009

Literature had been at center-stage in the traditional grammar-translation-focused English classrooms up to the mid-twentieth century. As the Audiolingual Method and the Communicative Language Teaching have gained popularity in the English classrooms, however, literature has receded into the background of English education. The main reasons for using literary texts in the English classrooms for communication-focused English instruction need to be examined. First of all, students can come in touch with the subtle and varied uses of language through literature-based teaching. They also feel close to certain characters in the literary work and share the emotional reponses with them. They get personally involved in the plot of the story. Universal human experience and cultural enrichment are two other merits which can be conferred on students by literary texts. Such linguistic and literary experiences can be significantly integrated into the literature-based instruction. More significantly, the four language skills (reading, writing, listening and speaking) can be combined with one another and integrated into a literature-focused curriculum for English education. The value of literary texts in the English classrooms can be clearly demonstrated by effective ways of using such texts as Charlotte's Web for integrated instruction. The full array of benefits that literature can bring to English instruction, however, has yet to be fully realized. These potentials need to be materialized into classroom practice.

• Journal of dental hygiene science
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• v.14 no.4
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• pp.563-570
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• 2014

The purpose of this study was to investigate the degree of verbal violence against dental hygienists, their emotional reaction and the relation between their intention of job transfer and verbal violence so that it could offer the basic data for developing the way how to cope with verbal violence and for improving their performance. Two hundred fifty-seven dental hygienists working for dentists' in Busan were interviewed from May 17 to 31, 2014 to collect data, of which analysis was as follows: 1) As a result of verbal violence done by patients and their guardians, 80.5% said that they experienced crude language with 17.5% forceful and imperative sentence, and 13.2% ignorant statements about their job. They were exposed to verbal violence once or twice every 6 months. As a result of researching verbal violence of co-working senior or junior hygienists, 52.1% answered that their co-working senior or junior hygienists talked crude language and 38.1% said their co-workers happened to say crude language to them. The crude language experience was relatively high as 20.2% and once or twice a week. As a result of verbal violence done by dentists, 47.5% said that they've heard crude language and 34.6% said that they experienced forceful and imperative sentence. 2) The overall average of the intention to transfer their job was $3.06{\pm}1.03$, while the highest intention of job transfer was $3.11{\pm}0.91$ where they said I have once wanted to transfer my job. 3) As a result of seeing the relation among verbal violence, emotional reaction and the intention of job transfer, there was co-relation between verbal violence and the patients' age (p<0.01); there were also co-relation between verbal violence of patients, co-workers and dentists (p<0.01). There was also significant relation between emotional reaction on verbal violence and their intention of job transfer (p<0.001).