Norms for 10,491 Spanish words for five discrete emotions: Happiness, disgust, anger, fear, and sadness

Emotional State of Older Adults During the COVID-19 Pandemic: Insights from the Cognitive and Social Well-Being (CoSoWELL) Corpus

OBJECTIVES

In view of the fallout of the COVID-19 pandemic, psychologists face a challenge to document the pandemic-related change in emotional well-being of individuals and groups and evaluate the emotional response to this fallout over time.

METHODSP

We contribute to this goal by analyzing the new CoSoWELL corpus (version 2.0), an 1.8 million-word collection of narratives written by over 1,300 older adults (55+ y.o.) in eight sessions before, during and after the global lockdown. In the narratives, we examined a range of linguistic variables traditionally associated with emotional well-being and observed signs of distress, i.e., lower positivity and heightened levels of fear, anger, and disgust.

RESULTS

In most variables, we observed a characteristic timeline of change, i.e., a delayed (by 4 months) and abrupt drop in optimism and increase in negative emotions that reached its peak about 7 months after the lockdown and returned to pre-pandemic levels one year after. Our examination of risk factors showed that higher levels of self-reported loneliness came with elevated levels of negative emotions but did not change the timeline of emotional response to the pandemic.

CONCLUSIONS

We discuss implications of the findings for theories of emotion regulation.

Statistical Relationships Between Phonological Form, Emotional Valence and Arousal of Spanish Words

A number of studies have provided evidence of limited non-arbitrary associations between the phonological forms and meanings of affective words, a finding referred to as affective sound symbolism. Here, we explored whether the affective connotations of Spanish words might have more extensive statistical relationships with phonological/phonetic features, or affective form typicality. After eliminating words with poor affective rating agreement and morphophonological redundancies (e.g., negating prefixes), we found evidence of significant form typicality for emotional valence, emotionality, and arousal in a large sample of monosyllabic and polysyllabic words. These affective form-meaning mappings remained significant even when controlling for a range of lexico-semantic variables. We show that affective variables and their corresponding form typicality measures are able to significantly predict lexical decision performance using a megastudy dataset. Overall, our findings provide new evidence that affective form typicality is a statistical property of the Spanish lexicon.

Sound symbolic associations in Spanish emotional words: affective dimensions and discrete emotions

Sound symbolism refers to non-arbitrary associations between word forms and meaning, such as those observed for some properties of sounds and size or shape. Recent evidence suggests that these connections extend to emotional concepts. Here we investigated two types of non-arbitrary relationships. Study 1 examined whether iconicity scores (i.e. resemblance-based mapping between aspects of a word's form and its meaning) for words can be predicted from ratings in the affective dimensions of valence and arousal and/or the discrete emotions of happiness, anger, fear, disgust and sadness. Words denoting negative concepts were more likely to have more iconic word forms. Study 2 explored whether statistical regularities in single phonemes (i.e. systematicity) predicted ratings in affective dimensions and/or discrete emotions. Voiceless (/p/, /t/) and voiced plosives (/b/, /d/, /g/) were related to high arousing words, whereas high arousing negative words tended to include fricatives (/s/, /z/). Hissing consonants were also more likely to occur in words denoting all negative discrete emotions. Additionally, words conveying certain discrete emotions included specific phonemes. Overall, our data suggest that emotional features might explain variations in iconicity and provide new insight about phonemic patterns showing sound symbolic associations with the affective properties of words.

CROWD-5e: A Croatian psycholinguistic database of affective norms for five discrete emotions

The present study introduces affective norms for a set of 3022 Croatian words on five discrete emotions: happiness, anger, sadness, fear, and disgust. The words were rated by 1239 Croatian native speakers. Each participant rated 251 or 252 words for one discrete emotion on a five-point Likert scale. The analyses revealed a significant relationship between discrete emotions, emotional dimensions (valence and arousal), and other psycholinguistic properties of words. In addition, small sex differences in discrete emotion ratings were found. Finally, the analysis of the distribution of words among discrete emotions allowed a distinction between "pure" words (i.e., those mostly related to a single emotion) and "mixed" words (i.e., those related to more than one emotion). The new database extends the existing Croatian affective norms collected from a dimensional conception of emotions, providing the necessary resource for future experimental investigation in Croatian within the theoretical framework of discrete emotions.

Ratings of valence, arousal, happiness, anger, fear, sadness, disgust, and surprise for 24,000 Dutch words

Emotion is a fundamental aspect of human life and therefore is critically encoded in language. To facilitate research into the encoding of emotion in language and how emotion associations affect language processing, we present a new set of emotion norms for over 24,000 Dutch words. The emotion norms include ratings of two key dimensions of emotion: valence and arousal, as well as ratings on discrete emotion categories: happiness, anger, fear, sadness, disgust, and surprise. We show that emotional information can predict word processing, such that responses to positive words are facilitated in contrast to neutral and negative words. We also demonstrate how the ratings of emotion are related to personality characteristics. The data are available via the Open Science Framework ( https://osf.io/9htuv/ ) and serve as a valuable resource for research into emotion as well as in applied settings such as healthcare and digital communication.

The bright side of words: Norms for 9000 Spanish words in seven discrete positive emotions

In recent years, assumptions about the existence of a single construct of happiness that accounts for all positive emotions have been questioned. Instead, several discrete positive emotions with their own neurobiological and psychological mechanisms have been proposed. Of note, the effects of positive emotions on language processing are not yet properly understood. Here we provide a database for a large set of 9000 Spanish words scored by 3437 participants in the positive emotions of awe, contentment, amusement, excitement, serenity, relief, and pleasure. We also report significant correlations between discrete positive emotions and several affective (e.g., valence, arousal, happiness, negative discrete emotions) and lexico-semantic (e.g., frequency of use, familiarity, concreteness, age of acquisition) characteristics of words. Finally, we analyze differences between words conveying a single emotion ("pure" emotion words) and those denoting more than one emotion ("mixed" emotion words). This study will provide researchers a rich source of information to do research that contributes to expanding the current knowledge on the role of positive emotions in language. The norms are available at https://doi.org/10.6084/m9.figshare.21533571.v2.

Memory effects of semantic attributes: A method of controlling attribute contamination

Rating norms for semantic attributes (e.g., concreteness, familiarity, valence) are widely used to study the content that people process as they encode meaningful material. Intensity ratings of individual attributes have been manipulated in numerous experiments with a range of memory paradigms, but those manipulations are contaminated by substantial correlations with the intensity ratings of other attributes. A method of controlling such contamination is needed, which requires a determination of how many distinct attributes there are among the large collection of attributes for which published norms are available. Identification of overlapping words in multiple rating projects yielded a data base containing normed values for each word's perceived intensity (M rating) and ambiguity (rating SD) on 20 different attributes. Principal component analyses then revealed that the intensity space was spanned by just three latent semantic attributes, and the ambiguity space was spanned by five. Psychologically, the big three intensity factors (emotional valence, size, age) were highly interpretable, as were the big five ambiguity factors (discrete emotion, emotional valence, age, meaningfulness, and verbatim memory). We provide a data base of intensity and ambiguity factor scores that can be used to conduct uncontaminated studies of the memory effects of the intensity and ambiguity of latent semantic attributes.

Affective Norms for Chinese Words of Typical Life Scenes Rated by Older Adults (ANCO)

The present study provides an affective norm collected from older adults for 1,050 Chinese words that are closely related to the typical life scenes commonly encountered by older adults. Data were collected for key affective dimensions of valence and arousal using the method of adapted Self-Assessment Manikin (Bradley & Lang, 1994) in a paper-and-pencil procedure. The results showed that the current database (ANCO) was of high reliability and validity. Valence and arousal were in an asymmetrically quadratic relationship in the valence-by-arousal space; i.e., older adults rated negative words as the highest arousing, followed by positive and neutral words. In addition, by comparing affective ratings of the shared words between the present norm collected from older Chinese adults and previous norms collected from young Chinese adults (Wang et al., 2008; Yao et al., 2017; Yu et al., 2016), we found that compared with young adults, older ones perceived negative words as more negative and more arousing, and perceived positive words as more positive and less arousing. ANCO can serve as a valuable source of information for age-related affective research and help explicate the effects of emotion on linguistic and cognitive processes.

Quantifying the retention of emotions across story retellings

Story retelling is a fundamental medium for the transmission of information between individuals and among social groups. Besides conveying factual information, stories also contain affective information. Though natural language processing techniques have advanced considerably in recent years, the extent to which machines can be trained to identify and track emotions across retellings is unknown. This study leverages the powerful RoBERTa model, based on a transformer architecture, to derive emotion-rich story embeddings from a unique dataset of 25,728 story retellings. The initial stories were centered around five emotional events (joy, sadness, embarrassment, risk, and disgust-though the stories did not contain these emotion words) and three intensities (high, medium, and low). Our results indicate (1) that RoBERTa can identify emotions in stories it was not trained on, (2) that the five emotions and their intensities are preserved when they are transmitted in the form of retellings, (3) that the emotions in stories are increasingly well-preserved as they experience additional retellings, and (4) that among the five emotions, risk and disgust are least well-preserved, compared with joy, sadness, and embarrassment. This work is a first step toward quantifying situation-driven emotions with machines.

How does attribute ambiguity improve memory?

The memory effects of semantic attributes (e.g., concreteness, familiarity, valence) have long been studied by manipulating their average perceived intensities, as quantified in word rating norms. The semantic ambiguity hypothesis specifies that the uncertainty as well as the intensity of semantic attributes is processed when words are encoded. Testing that hypothesis requires a normed measure of ambiguity, so that ambiguity and intensity can be manipulated independently. The standard deviation (SD) of intensity ratings has been used for that purpose, which has produced three characteristic ambiguity effects. Owing to the recency of such research, fundamental questions remain about the validity of this method of measuring ambiguity and about its process-level effects on memory. In a validity experiment, we found that the rating SDs of six semantic attributes (arousal, concreteness, familiarity, meaningfulness, negative valence, positive valence) passed tests of concurrent and predictive validity. In three memory experiments, we found that manipulating rating SDs had a specific effect on retrieval: It influenced subjects' ability to use reconstructive retrieval to recall words. That pattern was predicted by the current theoretical explanation of how ambiguity benefits memory.

Linking Perceived Organizational Politics to Workplace Cyberbullying Perpetration: The Role of Anger and Fear

The introduction of information and communication technologies in the workplace has extended the scope of bullying behaviors at work to the online context. However, less is known about the role of situational factors in encouraging cyberbullying behavior in the workplace. The purpose of this study is to investigate the role of perceived organizational politics in fueling cyberbullying in the workplace, and to examine the central role of negative emotions in this process. The sample comprised 279 faculty members of three large public sector universities in Islamabad, Pakistan. Results demonstrated that perceived organizational politics was positively associated with discrete negative emotions of anger and fear. Moreover, results indicated that anger was positively associated with cyberbullying perpetration, whereas fear was positively associated with face-to-face bullying victimization. Results also supported the idea that victims of face-to-face bullying may develop a positive attitude toward cyberbullying and retaliate against their more powerful face-to-face bullies online, possibly anonymously. We contribute to the literature by demonstrating that both forms of bullying can co-occur in the workplace as a consequence of perceived organizational politics, and the two roles-bully and victim-may be swapped among victims and perpetrators.

Gamma Oscillations in the Temporal Pole Reflect the Contribution of Approach and Avoidance Motivational Systems to the Processing of Fear and Anger Words

Prior reports suggest that affective effects in visual word processing cannot be fully explained by a dimensional perspective of emotions based on valence and arousal. In the current study, we focused on the contribution of approach and avoidance motivational systems that are related to different action components to the processing of emotional words. To this aim, we compared frontal alpha asymmetries and brain oscillations elicited by anger words associated with approach (fighting) motivational tendencies, and fear words that may trigger either avoidance (escaping), approach (fighting) or no (freezing) action tendencies. The participants’ task was to make decisions about approaching or distancing from the concepts represented by words. The results of cluster-based and beamforming analyses revealed increased gamma power band synchronization for fear words relative to anger words between 725 and 750 ms, with an estimated neural origin in the temporal pole. These findings were interpreted to reflect a conflict between different action tendencies underlying the representation of fear words in semantic and emotional memories, when trying to achieve task requirements. These results are in line with the predictions made by the fear-hinders-action hypothesis. Additionally, current data highlights the contribution of motivational features to the representation and processing of emotional words.

DISCO PAL: Diachronic Spanish sonnet corpus with psychological and affective labels

Nowadays, there are many applications of text mining over corpora from different languages. However, most of them are based on texts in prose, lacking applications that work with poetry texts. An example of an application of text mining in poetry is the usage of features derived from their individual words in order to capture the lexical, sublexical and interlexical meaning, and infer the General Affective Meaning (GAM) of the text. However, even though this proposal has been proved as useful for poetry in some languages, there is a lack of studies for both Spanish poetry and for highly-structured poetic compositions such as sonnets. This article presents a study over an annotated corpus of Spanish sonnets, in order to analyse if it is possible to build features from their individual words for predicting their GAM. The purpose of this is to model sonnets at an affective level. The article also analyses the relationship between the GAM of the sonnets and the content itself. For this, we consider the content from a psychological perspective, identifying with tags when a sonnet is related to a specific term. Then, we study how GAM changes according to each of those psychological terms. The corpus used contains 274 Spanish sonnets from authors of different centuries, from fifteenth to nineteenth. This corpus was annotated by different domain experts. The experts annotated the poems with affective and lexico-semantic features, as well as with domain concepts that belong to psychology. Thanks to this, the corpus of sonnets can be used in different applications, such as poetry recommender systems, personality text mining studies of the authors, or the usage of poetry for therapeutic purposes.

Age-Related Differences in Affective Norms for Chinese Words (AANC)

Information on age-related differences in affective meanings of words is widely used by researchers to study emotions, word recognition, attention, memory, and text-based sentiment analysis. To date, no Chinese affective norms for older adults are available although Chinese as a spoken language has the largest population in the world. This article presents the first large-scale age-related affective norms for 2,061 four-character Chinese words (AANC). Each word in this database has rating values in the four dimensions, namely, valence, arousal, dominance, and familiarity. We found that older adults tended to perceive positive words as more arousing and less controllable and evaluate negative words as less arousing and more controllable than younger adults did. This indicates that the positivity effect is reliable for older adults who show a processing bias toward positive vs. negative words. Our AANC database supplies valuable information for researchers to study how emotional characteristics of words influence the cognitive processes and how this influence evolves with age. This age-related difference study on affective norms not only provides a tool for cognitive science, gerontology, and psychology in experimental studies but also serves as a valuable resource for affective analysis in various natural language processing applications.

MATTER in emotion research: Spanish standardization of an affective image set

Pictures with affective content have been widely used in the scientific study of emotions, from two main perspectives: on the one hand, dimensional theories claiming that affective experiences can be described according to a few fundamental dimensions such as valence and arousal, and on the other hand, discrete-category theories proposing the presence of a number of basic and universal emotions. Although it has been demonstrated that these two approaches are not mutually exclusive, the existing standardized affective picture databases have been created from the dimensional perspective, which has led to important gaps for research focused on discrete emotions. The present work introduces MATTER, a new database comprising 540 pictures depicting disgusting, fearful, neutral, erotic, mirthful and incongruent content, which provides normative values (total N = 368, mean = 120.47 ratings/picture) in valence and arousal dimensions, as well as in discrete affective (disgust, fear, erotica and mirth) and cognitive (incongruence and interest) features. A tentative classification into discrete categories is presented, and the physical properties of each picture are reported. Our findings suggest that MATTER constitutes a modern and suitable set of affective images including, for the first time, both mirth- and incongruence-related pictures. Additionally, it will enable the examination of affective and cognitive processes in fear/disgust and humor/incongruence fields.

EmoPro - Emotional prototypicality for 1286 Spanish words: Relationships with affective and psycholinguistic variables

We present EmoPro, a normative study of the emotion lexicon of the Spanish language. We provide emotional prototypicality ratings for 1286 emotion words (i.e., those that refer to human emotions such as "fear" or "happy"), belonging to different grammatical categories. This is the largest data set for this variable so far. Each word was rated by at least 20 participants, and adequate reliability and validity rates for prototypicality scores were found. We also provide new affective (valence, arousal, emotionality, happiness, sadness, fear, disgust, and anger) and psycholinguistic (Age-of-Acquisition, frequency and concreteness) ratings for those words without prior data in the extant literature, and analyze which of the given variables contribute the most to prototypicality. A factor analysis on the affective and psycholinguistic variables has shown that prototypicality loads in a factor associated to the emotional salience of words. Furthermore, a regression analysis reveals a significant role of both dimensional and discrete- emotion-related variables, as well as a modest effect of AoA and frequency on the prediction of prototypicality. Cross-linguistic comparisons show that the pattern obtained here is similar to that observed in other languages. EmoPro norms will be highly valuable for researchers in the field, providing them with a tool to select the most representative emotion words in Spanish for their experimental (e.g., for a comparison with emotion-laden words, such as "murder" or "party") or applied studies (e.g., to examine the acquisition of emotion words/concepts in children). The full set of norms is available as supplementary material.

Iconicity ratings for 10,995 Spanish words and their relationship with psycholinguistic variables

The study of iconicity, or the resemblance between word forms and their meanings, has been the focus of increasing attention in recent years. Nevertheless, there is a lack of large-scale normative studies on the iconic properties of words, which could prove crucial to expanding our understanding of form-meaning associations. In this work, we report subjective iconicity ratings for 10,995 visually presented Spanish words from 1350 participants who were asked to repeat each of the words aloud before rating them. The response reliability and the consistency between the present and previous ratings were good. The relationships between iconicity and several psycholinguistic variables were examined through multiple regression analyses. We found that sensory experience ratings were the main predictor of iconicity, and that early-acquired and more abstract words received higher iconicity scores. We also found that onomatopoeias and interjections were the most iconic words, followed by adjectives. Finally, a follow-up study was conducted in which a subsample of 360 words with different levels of iconicity from the visual presentation study was auditorily presented to the participants. A high correlation was observed between the iconicity scores in the visual and auditory presentations. The normative data provided in this database might prove useful in expanding the body of knowledge on issues such as the processing of the iconic properties of words and the role of word-form associations in the acquisition of vocabularies. The database can be downloaded from https://osf.io/v5er3/ .

The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack

We describe the evolution of a stereotype as it emerged in tweets about the Charlie Hebdo terrorist attack in Paris in early 2015. Our focus is on terms associated with the Muslim community and the Islamic world. The data (400k tweets) were collected via Twitter streaming API and consisted of tweets that contained at least one of 16 hashtags associated with the Charlie Hebdo attack (e.g., #JeSuisCharlie, #IAmCharlie, #ParisAttacks), collected between January 14th and February 9th. From these data, we generated pairwise co-occurrence frequencies between key words such as “Islam”, “Muslim(s)”, “Arab(s)”, and “The Prophet” and possible associates such as: “terrorism”, “terror”, “terrorist(s)”, “kill(ed)”, “free”, “freedom” and “love”. We use changes in frequency of co-occurring words to define ways in which acute negative and positive stereotypes towards Muslims and Islam arise and evolve in three phases during the period of interest. We identify a positively-valenced backlash in a subset of tweets associated with the “origins of Islam”. Results depict the emergence and transformation of implicit online stereotypes related to Islam from naturally occurring social media data and how pro-as well as anti-Islam online small-world networks evolve in response to a terrorist attack.

subs2vec: Word embeddings from subtitles in 55 languages

This paper introduces a novel collection of word embeddings, numerical representations of lexical semantics, in 55 languages, trained on a large corpus of pseudo-conversational speech transcriptions from television shows and movies. The embeddings were trained on the OpenSubtitles corpus using the fastText implementation of the skipgram algorithm. Performance comparable with (and in some cases exceeding) embeddings trained on non-conversational (Wikipedia) text is reported on standard benchmark evaluation datasets. A novel evaluation method of particular relevance to psycholinguists is also introduced: prediction of experimental lexical norms in multiple languages. The models, as well as code for reproducing the models and all analyses reported in this paper (implemented as a user-friendly Python package), are freely available at: https://github.com/jvparidon/subs2vec.

FANCat: French affective norms for ten emotional categories

The present study develops key research for French word norms that combines the predominant theories of dimensional and discrete (or categorical) emotions. As a result, we provide the database FANCat, affective norms for a set of 1031 French words on ten discrete emotion categories: fear, anger, disgust, sadness, anxiety, awe, excitement, contentment, amusement, and serenity. FANCat complements a previous word set, FAN, which provides only the dimensional norms, valence, and arousal (Monnier & Syssau, 2014). Herein, we introduce five discrete positive emotions in efforts to differentiate positive emotions at higher resolution and specificity. Although ten emotional categories were considered in FANCat norms, results showed a high degree of inter-rater reliability and a good external validity. Then, distributional analyses of words into the ten emotion categories revealed that positive words evoked mainly the emotions awe, contentment, and amusement, and principally evoked either one positive emotion only ("pure" words) or two (mixed words). This study contributes to a deeper understanding of the relationship between language, and negative and positive emotions. It is also currently the only norms database in French that analyses ten discrete emotions as well as including valence and arousal. FANCat is available at https://www.researchgate.net/publication/338622765_FANCat_database .

A set of 750 words in Spanish characterized in two survival-related dimensions: avoiding death and locating nourishment

With the aim of finding quantitative indicators of the survival relevance for a set of concrete concepts, a subjective rating task was administered to a large sample of college students (N = 300). In the rating task, participants used a five-point scale to rate 750 concepts in one of two survival-relevant dimensions, providing their own judgment about the relevance of each concept in a situation in which either avoiding death (AD) or obtaining food (OF) was of importance. The subjective ratings showed high stability and reliability and showed varied patterns of association to potentially relevant concept-defining variables, with correlational analyses showing both commonalities and differences between the two rated dimensions. Regression analyses indicated that, while not likely to modulate word accessibility, survival ratings were related to certain conceptual properties that could be especially sensitive for threat detection. The collected data set provides normative information that can be of use in manipulating and controlling verbal stimuli in future research focusing on adaptive properties of episodic memory and other aspects of the human cognitive system. The complete norms are available for downloading at Open Science Framework ( https://osf.io/sf9mb/ ).

Too late to be grounded? Motor resonance for action words acquired after middle childhood

Though well established for languages acquired in infancy, the role of embodied mechanisms remains poorly understood for languages learned in middle childhood and adulthood. To bridge this gap, we examined 34 experiments that assessed sensorimotor resonance during processing of action-related words in real and artificial languages acquired since age 7 and into adulthood. Evidence from late bilinguals indicates that foreign-language action words modulate neural activity in motor circuits and predictably facilitate or delay physical movements (even in an effector-specific fashion), with outcomes that prove partly sensitive to language proficiency. Also, data from newly learned vocabularies suggest that embodied effects emerge after brief periods of adult language exposure, remain stable through time, and hinge on the performance of bodily movements (and, seemingly, on action observation, too). In sum, our work shows that infant language exposure is not indispensable for the recruitment of embodied mechanisms during language processing, a finding that carries non-trivial theoretical, pedagogical, and clinical implications for neurolinguistics, in general, and bilingualism research, in particular.

Does it matter if we approach or withdraw when reading? A comparison of fear-related words and anger-related words

The main aim of the present research was to explore the role of affective features beyond valence and arousal (i.e., the approach-withdrawal dimension) in visual word processing. For this purpose, fear-related words and anger-related words were compared in three tasks: a lexical decision task (LDT), a valence decision task (VDT) and an approach-distancing decision task (ADDT). Although these two types of words did not differ in the first two tasks, faster 'distancing' responses were given to anger-related words than to fear-related words in the ADDT. As long as these two types of words were matched in valence and arousal (among other variables), these results illustrate the need to consider other emotional dimensions (in this case, the approach-withdrawal dimension) beyond the two-dimensional perspective in order to account for the emotional effects in visual words processing and to describe how the affective space is organized. In addition, the results suggest a task-dependence effect: differential effects of fear and anger only emerged when participants were explicitly focused on the approach-withdrawal dimension. These findings are discussed in relation to motivationally-based mechanisms.

Affective and concreteness norms for 3,022 Croatian words

This study presents subjective ratings for 3,022 Croatian words, which were evaluated on two affective dimensions (valence and arousal) and one lexico-semantic variable (concreteness). A sample of 933 Croatian native speakers rated the words online. Ratings showed high reliabilities for all three variables, as well as significant correlations with ratings from databases available in Spanish and English. A quadratic relation between valence and arousal was observed, with a tendency for arousal to increase for negative and positive words, and neutral words having the lowest arousal ratings. In addition, significant correlations were found between affective dimensions and word concreteness, suggesting that abstract words have a tendency to be more arousing and emotional than concrete words. The present database will allow experimental research in Croatian, a language with a considerable lack of psycholinguistic norms, by providing researchers with a useful tool in the investigation of the relationship between language and emotion for the South-Slavic group of languages.