Emotional Vocabulary Research Articles

Analysis of the emotional vocabulary in a sample of secondary education students

Introduction. Numerous studies prove the importance of emotional intelligence in promoting emotional regulation, self-knowledge, empathy and the ability to develop strong social relationships. Some of them highlight the fundamental role of emotional vocabulary, being the good development of this a key factor to name, interpret and regulate our emotions correctly. 
 Method. This study focused on knowing the differences in written expression of short-term emotional vocabulary according to age and gender, in a sample of high school students between 12 and 16 years old, with a total of 442 participants, belonging to the region of Lleida, Spain. 
 
 Results. The results showed that there was a significant increase in the number of negative words as age increased, as well as a significant decrease in ambiguous words. Differences were also detected in the expression of emotions according to gender, with girls reporting a greater number of both positive and negative words. 
 
 Discussion and Conclusion. In conclusion, this study proves that there are differences in the expression of emotional vocabulary according to the age and gender of students.

The role of using the language of feelings and emotions in mass media texts

This article examines the phenomenon of feeling, defines how it manifests in the linguistic aspect of the person and analyzes the types of emotional aspects found in  mass media texts. Research purpose is the comparative study of linguo-cultural characteristics of emotional vocabulary in Kazakh and English. The main goals and objectives of scientific research are as follows: to determine the volume and composition; to define the lexical and semantic features; to reveal the national-cultural function; to determine cultural-national connotation;  to address issues of national acculturation of words that express feelings in English and Kazakh mass media texts. The functions of language are considered in conjunction with its sensory functions, the meaning of language as the general tool for this purpose is comprehensively revealed. A person's worldview is defined, different emotional states of feeling, the world of art and the language of national identity are presented. The findings of the study broaden the possibilities for presenting new knowledge of the world through the media. A significant research result is the study process of the features of the expression of feelings and emotions. Research methods used: content analysis, continuous sampling method, method of linguistic analysis. Research value is the importance and scientific significance of comparative analyses in English and Kazakh feelings vocabulary, which is a new and quite promising direction of linguistics. The study of this phenomenon gives writers, poets, linguists, journalists and other creative professionals the prerequisite for the development of feelings vocabulary. Key words: feeling, emotions, phenomena, mass media texts, language aspects, genres, the notion of feelings.

Comprehending Character: Unlocking the Potential of Perspective‐taking

AbstractIn this article, we explore how character perspective‐taking can support students’ reading comprehension, as well as opportunities to engage social‐emotional learning (SEL). We start by defining character perspective‐taking and SEL. Then, we present strategies for practicing character perspective‐taking in classrooms, how these strategies are connected by research to improved reading comprehension skills, and how they can benefit SEL. More specifically, we outline three strategies to support incorporating perspective‐taking in the classroom including practicing perspective‐taking in small groups, building students’ emotion vocabulary, and including images and sounds when engaging students with texts, each of which correlates with improved narrative comprehension. By building a practice of perspective‐taking in our classrooms, we are not only growing our students’ reading comprehension and building space for SEL, but we are honoring what our students bring to the table as readers and as people.

Influence of Sensitivity to Bodily Perceptions and Emotional Vocabulary on Depression

Influence of Sensitivity to Bodily Perceptions and Emotional Vocabulary on Depression

"АЗЪ ЖЕ ТОГО ОУБОӔВЪСѦ": ЭМОТИВНАЯ ЛЕКСИКА СТРАХА КАК ХАРАКТЕРИСТИКА КНЯЗЕЙ В "ПОВЕСТИ ВРЕМЕННЫХ ЛЕТ"

The research of terms denoting emotions is the main approach for the study of notions about human feelings that existed in the past. Because of the peculiarities of the ancient Russian book culture, we cannot find thorough and detailed descriptions related to the experiences of people in the works of that period. However, those texts contain emotive vocabulary. Exactly its analysis is especially important for understanding the ideas about the emotions of the Middle Ages. The analysis of the emotive language of fear shows, however, that the authors of the Tale of Bygone Years not only and not so much sought to express the feeling of their characters’ fear, but created the characteristics of the characters of the chronicle with the help of emotives. The article analyses the stories of the Tale of Bygone Years about the princes that contain lexemes of fear. Particular attention is paid to the usage contexts of the discovered emotives. The key result of the analysis presented that chroniclers used the emotive language of fear for the moral characterization of princes. The mention of this emotion marks the characters as villains and defines their actions as unrighteous. Fearlessness is as a positive characteristic of princes. Therefore, the emotive language of fear in the chronicle narrative primarily plays a symbolic role and becomes an important element of the evaluation that chroniclers give to their characters.

MULTIMODAL TEXT TYPE MESSAGE IN THE TELEGRAM MESSENGER (BASED ON THE CHANNEL OF THE GERMAN PARTY AFD)

Multimodality is a central property of modern communication spaces, presented in the form of websites, web channels, and messengers, where the user encounters written and spoken speech, sound, and image in their combination. By decoding information in a multimedia message, the user encounters elements of different modalities, coming through different forms of perception: iconic (textual), auditory and visual. The steps in decoding the elements of the modalities are reading the text typed in a large header, visualizing the pictures, recognizing the text format and font, and reading the content of the message. Elements of modalities, except sound, can be arranged in the communication space in a certain order to ensure the visibility of the message and increase the information content of the messages, e. g.: the image in a cohesive combination with text, using different types of typographic fonts, colors and symbols. Multimodality is the media backbone of the German channel of political party AfD, with more than 19,000 subscribers in the messenger Telegram. The corpus of examples is compiled from 310 messages between January and December 2021. Messages in Telegram are a multimodal text type. Most of the messages are direct critical against the policies pursued by the German parties in the government. The article considers the peculiarities of the use of lexical means (emotive vocabulary, metaphors, lexicon, slogan, formality) and pragma-stylistic means (exclamatives, rhetorical questions) in combination with the image in multimodal messages in the German-language channel of the political party AfD — Im Brennpunkt

Страшный рай «Жития Василия Нового»

Emotive vocabulary played a significant role in creating the image of paradise in the literary works that circulated in Ancient Russia. The article explores the meaning of the adjective “fearful” and its cognates. “The Life of Basil the Younger” was chosen as a historical source, in which references to fear are most common. Based on the comparison of the original text of “The Life…” and its Slavonic translation, the article identifies the Greek equivalent of the Old Russian “fear in paradise”, which is a special kind of emotion — φρίκη. Examples from other sources confirm the established connection. Analysis of Ancient Greek texts made it possible to trace the origins of the concept φρίκη, the changes in its meaning over time, and the main aspects of this state. The author also examines connection between fear-φρίκη and the words that designate the emotion of wonder.. As a result of our research, we got the complex understanding of the concept of fear not only in the descriptions of paradise, but also in the stories where characters are faced with the Divine.

Восприятие эмоциональной лексики первого и второго языков в условиях языкового контактирования (тюркско-русский херитажный билингвизм)

Currently, the influence of a particular culture on all aspects of the society life is not in doubt. This also applies to the emotional sphere. It is believed that, despite the universality of emotions as a mental mechanism, there are emotions that are common to all ethnic groups and those ethnospecific emotions that are formed in a certain culture. Differences are largely manifested not only in the expression of emotions, including language expression, but also in their perception. This problem becomes especially relevant in the context of language contact, namely when addressing the problem of the relationship between emotionality and bilingualism. The purpose of this article is to identify the peculiarities of the perception of diminutives as representatives of the emotional vocabulary by Turkic-Russian bilinguals in the first and second languages. The experiment employed units of the Russian, Khakass, and Tatar languages, among which there were diminutives (the target group) – emotional words, that are a hallmark of Russian speech, but also available in the Turkic languages. The experiment was conducted using E-prime software first in groups of native Russian speakers and Turkic-Russian bilinguals on the material of the Russian language (23 people in each group), then in groups of Khakass-Russian and Tatar-Russian bilinguals in their native languages (16 and 17 people, respectively). The data were used for a covariance analysis, which showed that all groups of respondents needed much more time to respond to emotional words compared to neutral words (p (p<0.001), regardless of the language of the stimuli. At the same time, either frequency and/or length of the word significantly affects the reaction time. Comparison of the results obtained on the material of the native languages of bilinguals with the results obtained on the material of the Russian language showed that bilinguals react significantly longer to all groups of words (p<0.001). The results, on the one hand, do not confirm the data available in the literature on the advantage of processing emotional words in the first language. However, they correlate with the conclusions about the impact on perception of the type of bilingualism, in our case – heritage, late, unbalanced towards the second language.

Валидация моделей машинного обучения для автоматизированного определения тональности русскоязычных текстов

Sentiment analysis is one of the most demanded natural language processing operations for solving applied problems. One of the key methods of automated sentiment analysis is supervised machine learning. In the presence of a large selection of ready-made solutions for determining the tonality, the results of the models give significant errors due to the complexity and contextual conditionality of the linguistic explication of emotions. The article presents the results of the validation of 6 models for determining the sentiment of Russian-language publications using a research validation dataset – expertly marked 300 statements extracted from social network messages on the subject of quality of life and corresponding to one of the sentiment types: positive, negative, neutral. To evaluate the performance of the models, interannotator agreement coefficients were used, in particular, Krippendorff’s alpha, Cohen’s kappa and Fleiss’s kappa coefficients. The obtained values of the coefficients showed a low level of reliability between the expert labels and the labels that were assigned by the models. Among the experiments performed, the lowest agreement coefficients were achieved for the Blanchefort model trained on Rusentiment data, and the highest for the model of the same developer trained on medical feedback data. Based on the results obtained, conclusions were drawn about the most common causes of disagreements in determining sentiment by machine learning models. Machine learning models correctly identify the tone of texts if they contain bright lexical markers that match in tone the general tone of the statement. On the contrary, problems in determining the tone of an emotionally charged message by the model are provoked by the presence of a word with the opposite tone in it. The use of emotive vocabulary that does not match the tone of the entire statement, the presence of marker words not in their direct meanings, the use of uppercase, forms of complicated communication (including irony, sarcasm) remain risk factors for attracting automated analysis resources: with a high degree of probability the automatic classification model will not be able to correctly determine the tone of the text. The main reason for the “difficulties” of the automated determination of sentiment is the complexity of the task of focusing on the utterance as an integral unit and the refusal to focus on individual formal indicators. The utterance is the minimum communicative unit of speech. Capturing its semantic and emotionally expressive integrity is a super task for machine learning models in sentiment analysis. So, it is still quite difficult to trust machine learning models in solving such a complex task as automated categorization of emotions. It is advisable to associate the prospects for research directions in this area, first of all, with the development of high-quality, linguistically sound training datasets.

Educational Method of Emotional Vocabulary Based on the ‘Theory of Constructed Emotion’

Educational Method of Emotional Vocabulary Based on the ‘Theory of Constructed Emotion’

The Power of 'Wonder' by R. J. Palacio to Trigger Young Readers’ Emotionally Literate Responses

Readers’ emotions are naturally blended with their cognitive abilities in the transaction with literary texts. From the perspective of emotional intelligence, an emotionally literate reader will be able to read beyond the surface of the text and make inferences regarding shades of feelings, their causes and effects. The purpose of the present study was to observe whether there is any correlation between the emotional intelligence profile of young readers and their abilities to identify the emotional input in literary texts and its impact on themselves. The study was carried out with the participation of 72 students in the first year at the Faculty of Letters in Iași. It consisted in three stages and relied both on quantitative and qualitative data collection. In the first stage, the students filled in a Reading literary texts – Self-report questionnaire; in the second stage they filled in the How Empathetic are You? (The Toronto Empathy Questionnaire, TEQ) (“How Empathetic”) and in the third stage they were given excerpts from the book Wonder by R. J. Palacio in order to check whether the self-reported emotional literacy skills were at work when approaching a literary text. Approximately half of the students (30) offered to watch the film prior to class discussion and work. The answers were compared with the results of the self-reported questionnaires and a natural and fairly consistent correspondence between the profiles of readers in terms of empathy in general and the empathy felt with regard to the fictional characters together with a good command of emotion vocabulary could be observed.

A corpus-based comparative analysis of elementary school English textbooks in South Korea and China

The present study aims to provide implications applicable to Korean English education by comparing Korean and Chinese elementary school English textbooks. Five types of Korean elementary school English textbooks and three types of Chinese elementary school English textbooks for 6th grade were constructed as a corpus. To find out how Korean and Chinese elementary English textbooks differs from English corpus, the Corpus of Contemporary American English (COCA) and The Child Language Data Exchange System (CHILDES) were selected. The study results are as follows. First, in terms of vocabulary characteristics, Chinese textbooks had higher lexical diversity and used more familiar, concrete and emotional vocabulary. Second, in terms of sentence and discourse characteristics, as the esult of the average sentence length, syntactic complexity of the sentence, readability index, cohesion analysis, text difficulty of Chinese textbooks was higher. Third, although the high-frequency vocabulary of Korean and Chinese English textbooks was generally similar, there was a difference in that first and second person pronouns are used more frequently and the conjunction ‘and’ is used less frequently in Korean textbooks. As a result of comparison with the English corpus, the high-frequency vocabulary of Korean and Chinese textbooks was more similar to the children’s corpus rather than the general corpus.

The role of the semantheme “Heart” in the structure of the field “Spiritual state” (based on the material of the Russian language)

The article deals with the question of denotative space of spiritual state concepts, analyzes the semantic structure of the lexeme ‘Heart’, author makes attempts to reconstruct the semantheme ‘Heart’, what is based on the lexicographic dictionaries data, contexts usage and stable combinations. The nests of semanthems, where each semantic feature of the stratified complex was acted as dominant, are also analyzed. Thus at the level of language prototypes and at the level of implementation of these prototypes in the language an attempt to fully describe the structure of the semantheme “Heart” is complete. The author drew attention to the texts of the early historical era, where it was noticed that abstract concepts at the language level were denoted using the lexical block “Heart”, but at the present stage of language development all these concepts have a separate lexeme. This observation gave the author the opportunity to assert that the “Heart” is one of the first semanthems in the spiritual sector of the system “Man”. Based on the analysis, author is stated that in the hierarchy of the spiritual sector of the system “Man” semantheme 'Heart' occupies a nuclear position, it is initial nominator of the specific reaction of the heart as an organ, later it spread the field of meaning in the direction of three other basic meanings – thoughts/feelings/desires, which gave the language consciousness the opportunity to build all subsequent abstract concepts, nuclear generalized features of the semantheme 'heart' can be found in the semantic structure of the lexical units, nominating the sphere of spirituality. The study of the semantheme ‘Heart’ paved the way for the possibility of a new vision to the vocabulary of emotions and mental states in general denotative space. The author suggests including to the denotative space the assessment of the phenomenon by the participant, the intensity of the manifestation of the heart reaction, the intensity of desire, facial or effective reaction. It is proposed to specify the intensity using a scale with positive and negative indicators.

‘Change the Heart, and the Work Will Be Changed’: Pius XII's Papal Blueprints for Europe

This article examines the role of emotions in papal discourse about European integration. Expanding on the ‘emotional turn’ in history, it develops an analytic framework to study emotional valence in constructing the past and future. Analysing Pope Pius XII's three major post-war encyclicals (Communium Interpretes Dolorum,Fulgens RadiaturandSummi Maeroris), this article shows how the emotional vocabulary of Pius XII bridges the gap between theology and politics. In particular, it illuminates how Pope Pius XII integrated emotional and religious vocabulary to (re)construct an image of a European past and future.

Happy, sad, or yucky? Parental emotion talk with infants in a book-sharing task.

While preschoolers consistently produce and use labels for happy and sad emotional states, labels for other emotional states (e.g., disgust) emerge much later in development. One explanation for these differences may lie in how parents first talk about these emotions with their children in infancy and toddlerhood. The current study examined parent talk about different emotions (i.e., happiness, sadness, anger, fear, and disgust) in a book-sharing task with their 12- to 24-month-old infants. Parental talk on each emotion page was coded for both quantity and quality of emotion talk. We found that, rather than labeling or asking questions about disgust emotional states, parents instead elaborated on and asked questions about the context of disgust pictures. In contrast, parents frequently labeled happy and sad emotional states and behaviors. Parental use of causal questions related to infants' productive emotion vocabularies. These different narrative styles may partly explain why older children acquire emotion labels for "happy" and "sad" much earlier than "disgust."

A mixed methods examination of emotional expression and its impact on emotion regulation effectiveness in borderline personality disorder

Background and objectivesEmotional expression (i.e., identifying and labeling emotion using specific words), is theorized to reduce negative emotion and facilitate emotion regulation. However, it remains unclear how individuals with borderline personality disorder express emotion, and whether this influences their emotion regulation. This study examined whether: 1) emotional expression in borderline personality disorder differed from healthy controls based on word valence, emotionality, and vocabulary; and 2) whether such characteristics predict emotion regulation effectiveness across self-reported and physiological emotion domains differentially across these groups. MethodsIndividuals with borderline personality disorder (n = 29) and age and sex-matched healthy controls (n = 30) listened to an evocative story, expressed emotion, and regulated emotion by applying Mindfulness or Cognitive Reappraisal. Emotion regulation was measured by changes in self-report, parasympathetic, and sympathetic emotion, while implementing the emotion regulation strategies. The words used to express emotion were coded based on valence, emotionality, and depth of vocabulary. ResultsGeneralized estimating equations revealed no differences between groups in valence, emotionality, and vocabulary. Additionally, using a larger emotional vocabulary predicted more effective sympathetic emotion regulation, and using more negatively valenced words predicted more effective parasympathetic emotion regulation across groups. LimitationsAmong other things, this study is limited by its predominantly female sample, and that it does not determine whether valence, emotionality, or vocabulary independently predict emotional expression effectiveness. ConclusionsEmotional expression may not be deficient in borderline personality disorder across the indices studied. Using more negative words and broadening vocabulary while expressing emotion may offer emotion regulation benefits.

Shifting moods on Sina Weibo: The first 12 weeks of COVID-19 in Wuhan

Better understanding of social media uses in crisis situations can help improve disaster management by policy-makers, organizations, businesses, and members of the public. It can also build theoretical understanding of how social life and citizenship incorporate social media usage. This study tracks the evolution of public sentiment in Wuhan, China, during the first 12 weeks after the identification of COVID-19 on the Chinese microblogging platform Sina Weibo. Data consist of 133,079 original Sina Weibo posts dealing with the novel coronavirus. The relative prevalence of eight different emotion groups is traced longitudinally using the ROST Content Mining System and the Emotion Vocabulary of Dalian University of Technology. The study finds a progression from confusion/fear, to disappointment/frustration, to depression/anxiety, then finally to happiness/gratitude. It argues that this progression indexes the changing affective energies of digital medical citizenship, which in turn indicates the context for intervention in future crises.

The representation of emotion knowledge across development.

The present study examined how children spontaneously represent facial cues associated with emotion. 106 three‐ to six‐year‐old children (48 male, 58 female; 9.4% Asian, 84.0% White, 6.6% more than one race) and 40 adults (10 male, 30 female; 10% Hispanic, 30% Asian, 2.5% Black, 57.5% White) were recruited from a Midwestern city (2019–2020), and sorted emotion cues in a spatial arrangement method that assesses emotion knowledge without reliance on emotion vocabulary. Using supervised and unsupervised analyses, the study found evidence for continuities and gradual changes in children's emotion knowledge compared to adults. Emotion knowledge develops through an incremental learning process in which children change their representations using combinations of factors—particularly valence—that are weighted differently across development.

Image Tactics in Public Speeches of the Head of the Reg

The article features the way political discourse shapes the image of the region. The research was based on a number of speeches given by A. G. Tuleyev, the ex-governor of the Kemerovo Region. The author used the classification of communicative strategies and tactics developed by O. S. Issers. The strategies demonstrated a strong suggestive potential aimed at changing the values and worldview of the recipient while promoting the image of the territory and its main political figure. The speeches appeared to be quite expressive as they contained a lot of emotional vocabulary, which was almost completely absent from the original written texts. A. G. Tuleyev chose informative and incentive tactics, e.g. focus on the positive development of the region (22 %), campaigning tactics (15 %), and historical references (12 %). The ex-governor pursued several parallel goals, e.g. to describe the region as dynamic, attractive, and prosperous while demonstrating his care about the electorate and showing respect to people of hard labor.

СТРУКТУРНО-СЕМАНТИЧНІ ОСОБЛИВОСТІ ВЕРБАЛІЗАЦІЇ ЕМОЦІЙНИХ СТАНІВ У СУЧАСНОМУ АНГЛІЙСЬКОМОВНОМУ ЛІТЕРАТУРНОМУ ДИСКУРСІ (НА МАТЕРІАЛІ РОМАНУ Е. ҐІЛБЕРТ «ЇСТИ, МОЛИТИСЯ, КОХАТИ»)

The article is devoted to the study of means expressing emotional states in modern English literature discourse, i.e., the novel by E. Gilbert ‘Eat, Pray, Love’. The paper outlines structural and semantic peculiarities of lexical means expressing emotional states based on 163 verbal constructions obtained by continuous sampling from the novel under analysis. Emotional and emotive vocabulary are two adjacent but not identical notions; the term ‘emotive’ belongs to the sphere of linguistics comprising multilevel lingual means of expressing emotions, i.e., a linguistic research focuses on emotive vocabulary where the verb plays a significant role as a meaningful centre of the sentence. Verbalisation of emotional states is performed synthetically (indication of the emotional state is incorporated into the verb semantics) and analytically (emotional state is expressed through an adjective or / and noun semantics which follow the link verb). Emotional states include means of positive, negative, and neutral states. Emotive vocabulary denoting positive emotions comprises 8 emotional states among which are love, gaiety, happiness, satisfaction, excitement, admiration, tranquillity, inspiration, with the units containing semantic component ‘love’ dominating this group and constructions denoting excitement, admiration, tranquillity, and inspiration demonstrating low productivity. Negative emotions include 7 emotional states: fear, grief, anxiety, anger, sadness, rage, anguish, where constructions denoting fear and grief demonstrate the highest productivity, and units denoting anxiety, anger, sadness, rage, and anguish show low productivity.