An Analysis Of Words Whose Emotional Meaning Changes In Modern English Linguistics

The article is devoted to the problems of interdependence of concepts and lexical meanings. Here are examples of changes in the meaning of emotional words and how these words come in different meanings. It is known from history that words change their emotional meaning entirely by chance, that is, they show that people are changing their views as social or political events change. Words that describe a person’s state of mind, their inner mood, no matter how strong or affective they are, gradually begin to lose their power and eventually lose any sensitivity and become obsolete. But that doesn’t mean they’re out of the emotional vocabulary. They simply point out that it has lost its effectiveness and is often an emotional phenomenon. Words that express the same strong emotion gradually weaken the zeal of that emotion.

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The dimensions of emotional meaning in modern Greek

Social Science Information ◽

10.1177/0539018415608529 ◽

2015 ◽

Vol 55 (1) ◽

pp. 43-59 ◽

Cited By ~ 1

Author(s):

Silvia Testa ◽

Nikolitsa Triantafyllopoulou ◽

Dario Galati

Keyword(s):

Native Speakers ◽

Three Dimensional ◽

Emotional Words ◽

Linguistic Family ◽

Emotional Meaning ◽

Emotion Lexicon ◽

Similarity Ratings ◽

Meaning Structure ◽

Three Dimensional Configuration ◽

Scaling Analyses

The aim of this study was to investigate the meaning structure of emotion terms from the Greek lexicon, and to assess commonalities and differences with the maps of emotional words obtained in a prior study of neo-Latin languages, a linguistic family sharing ancient roots with the Greek tongue. Twelve native speakers contributed to the selection of 33 Greek terms with a clear emotional meaning and an independent sample of 30 participants evaluated the pairwise similarities among the target words. The similarity ratings were subjected to multidimensional scaling analyses, yielding a three-dimensional configuration (Valence, Physiological Activation and Potency) in which the coping potential dimension (Potency) was more important than, or at least as important as, the Physiological Activation dimension. The map resembled that previously identified for the core neo-Latin languages, namely Italian, French and Spanish, and was quite different from those obtained for other more peripheral neo-Latin languages, and also from those obtained in some studies involving English emotion lexicon. Reasons for these similarities and differences are discussed.

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ESTUDO DO PROCESSAMENTO MNÉSICO CONSCIENTE E NÃO CONSCIENTE DE PALAVRAS EMOCIONAIS

International Journal of Developmental and Educational Psychology Revista INFAD de psicología ◽

10.17060/ijodaep.2014.n1.v1.393 ◽

2016 ◽

Vol 1 (1) ◽

pp. 451

Author(s):

Tânia Prata ◽

Graça Esgalhado

Keyword(s):

Implicit Memory ◽

Declarative Memory ◽

Memory Systems ◽

Long Term Memory ◽

Facilitation Effect ◽

Emotional Words ◽

Multiple Memory Systems ◽

State Of Mind ◽

Completion Test ◽

Stored Information

Abstract:According to the literature there is not one but multiple memory systems. In particular, two forms of memory can be distinguished in long-term memory: the explicit or declarative memory and the implicit or non-declarative memory. Different stimuli (words, faces/photographs/images or storytelling) of emotional significance (neutral/positive/negative) have been used to explain the functional interdependence between memory and emotion, with the relevance of affective material in the processing of information appearing to increase with age (Carstensen & Mikels, 2005). With the association of a depressed emotional state, several authors suggest that the information that is affectively congruent with a person’s state of mind/mood is better remembered than information that is affectively incongruent (Joorman & Gotlib, 2006; Lepännen, 2006). In this study we evaluate the conscious and non-conscious mnemonic processing of emotional words. To this end, 200 older adults aged between 60 and 89 were involved and two specific tests were designed (word recognition test and bigram completion test). In both tasks, the emotion words were better recognised and recalled than the ageing words. Despite the research hypotheses have not been confirmed, the emotional content of the stimuli somehow facilitated the retrieval of previously stored information. The differences found when comparing the group of the depressed with the non-depressed elderly are not statistically significant (p > .05) and therefore no mood-congruency effect was found. In turn, the implicit memory test proved the existence of a priming facilitation effect, which contributed to a better performance in this test. The findings suggest that when the priming facilitation effect occurs and affective material is used it is possible to achieve better memory results in both direct and indirect tests.Keywords: Explicit and implicit memory and emotionResumo:De acordo com a literatura não existe um único sistema mnésico, mas múltiplos sistemas. Especificamente, na Memória a Longo Prazo podem-se encontrar dois tipos de memória, a designada memória explícita ou declarativa e a memória implícita ou não declarativa. Vários estímulos (palavras, faces/fotografias/imagens ou histórias narradas) de valência emocional (neutro/positivo/negativo) têm sido utilizadas para explicar a interdependência funcional entre a memória e a emoção, sendo que à medida que se avança na idade parece aumentar a relevância do material afectivo no processamento da informação (Carstensen & Mikels, 2005). Quando associado um estado emocional depressivo, vários autores sugerem que a informação afectivamente congruente com o estado de ânimo/humor dos indivíduos é melhor recordada que a informação afectivamente incongruente (Joormann & Gotlib, 2006; Leppänen, 2006). Neste estudo procuramos avaliar o processamento mnésico consciente e não consciente de palavras emocionais. Para tal, participaram 200 idosos com idades compreendidas entre os 60 e 88 anos e foram construídas duas provas específicas (Prova de reconhecimento de palavras e Prova de completamento de bigramas). Em ambas as provas houve um melhor reconhecimento e evocação das palavras-emoções do que das palavras-envelhecimento. Apesar das hipóteses de investigação terem sido infirmadas, o conteúdo emocional dos estímulos, de certo modo, facilitou na recuperação da informação anteriormente armazenada. As diferenças encontradas quando comparados o grupo dos deprimidos e o dos não deprimidos não são estatisticamente significativas (p >.05), logo não se encontrou um efeito de congruência de humor. Por sua vez, quando utilizada a prova de memória implícita comprovou-se a existência do efeito facilitador priming, o que contribuiu para o alcance de melhores resultados nesta prova.Os resultados obtidos sugerem que quando está presente o efeito de facilitação priming e utilizadomaterial afectivo consegue-se alcançar melhores resultados mnésicos quer em provas directas,quer indirectas.Palavras-Chave: Memória explícita e implícita e emoção

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Finding State of Mind Through Emotion and Sentiment Analysis of the Twitter Text

10.3233/apc210146 ◽

2021 ◽

Author(s):

Ashok kumar PM ◽

Anitha A ◽

Verma H ◽

Laxmannarayana M

Keyword(s):

Social Media ◽

Large Volume ◽

Data Science ◽

The State ◽

Machine Learning Techniques ◽

Emotional Words ◽

Learning Techniques ◽

State Of Mind ◽

Efficient Data ◽

The Mind

In this paper, the main aim of the project is to identify and do analysis of sentiment and emotion of the person and through the analysis find the state of the mind of the person. After finding the state of the mind of the person we can help people through NGO. We know that now top people are using social media twitter, and that place people are posting their thoughts and feelings. In this paper, our job is to do a twitter text analysis and make recommendations based on human emotions and also find state of mind of the person. Here we collect a tweet from the tweeter and their posts and make an analysis of this post. Emotional analysis is the study area for analyzing people’s reviews, emotions, attitudes, and feelings from a tweeter in a written language. Emotional analysis has applications such as data collection and analysis of that data. However, the large volume and unstructured nature of text or data poses a challenge to properly analyzing data. Similarly, skilled algorithms or computer techniques are needed to mine and reduce tweets and find emotional words. Many of the existing computer systems, models, algorithms in sensory diagnostics from such informal data rely on machine learning techniques on the voice bag process as its basis. Understanding public opinion from a tweeter can help improve future decision-making. Comment mines are a way to get knowledge about online services from tweeter blogs, micro blogs, and social media. Individual opinions vary from person to person, and Twitter tweets are the most important source of this type of data. However, the large volume and unstructured nature of text / ideas data poses a challenge to analyzing the efficient data system. we know that millions of people are posting their reviews and comments on Twitter. By performing a tweeter analysis we will use other data science techniques to make an example, processing, classification of Bayes naive, k means algorithm integration, etc.

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The Meaning of Emoji to Describe Food Experiences in Pre-Adolescents

Foods ◽

10.3390/foods9091307 ◽

2020 ◽

Vol 9 (9) ◽

pp. 1307

Author(s):

Julia Sick ◽

Erminio Monteleone ◽

Lapo Pierguidi ◽

Gastón Ares ◽

Sara Spinelli

Keyword(s):

Positive Emotions ◽

Mapping Technique ◽

Projective Mapping ◽

Ongoing Research ◽

Emotional Words ◽

Age And Gender Differences ◽

Emotional Meaning ◽

Food Experience ◽

And Gender ◽

Better Than

Ongoing research has shown that emoji can be used by children to discriminate food products, but it is unclear if they express emotions and how they are linked to emotional words. Little is known about how children interpret emoji in terms of their emotional meaning in the context of food. This study aimed at investigating the emotional meaning of emoji used to describe food experiences in 9–13-year-old pre-adolescents and to measure related age and gender differences. The meaning of 46 emoji used to describe food experience was explored by: mapping emoji according to similarities and differences in their emotional meaning using the projective mapping technique, and linking emoji with emotion words using a check-all-that-apply (CATA) format. The two tasks gave consistent results and showed that emoji were discriminated along the valence (positive vs. negative) and power (dominant vs. submissive) dimension, and to a lower extent along the arousal dimension (high vs. low activation). In general, negative emoji had more distinct meanings than positive emoji in both studies, but differences in nuances of meaning were found also among positive emoji. Girls and older pre-adolescents (12–13 years old (y.o.)) discriminated positive emoji slightly better than boys and younger pre-adolescents (9–11 y.o.). This suggests that girls and older pre-adolescents may be higher in emotional granularity (the ability to experience and discriminate emotions), particularly of positive emotions. The results of the present work can be used for the development of an emoji-based tool to measure emotions elicited by foods in pre-adolescents.

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The Curse of Knowledge in Visual Data Communication

10.31219/osf.io/xc7e8 ◽

2019 ◽

Author(s):

Cindy Xiong ◽

Lisanne van Weelden ◽

Steven Franconeri

Keyword(s):

Visual Perception ◽

Data Communication ◽

The State ◽

Visual Salience ◽

Visual Data ◽

Psychological Phenomenon ◽

Political Events ◽

State Of Mind ◽

Curse Of Knowledge

A viewer can extract many potential patterns from any set of visualized data values. But that means that two people can see different patterns in the same visualization, potentially leading to miscommunication. Here, we show that when people are primed to see one pattern in the data as visually salient, they believe that naïve viewers will experience the same visual salience. Participants were told one of multiple backstories about political events that affected public polling data, before viewing a graph that depicted those data. One pattern in the data was particularly visually salient to them given the backstory that they heard. They then predicted what naïve viewers would most visually salient on the visualization. They were strongly influenced by their own knowledge, despite explicit instructions to ignore it, predicting that others would find the same patterns to be most visually salient. This result reflects a psychological phenomenon known as the curse of knowledge, where an expert struggles to re-create the state of mind of a novice. The present findings show that the curse of knowledge also plagues the visual perception of data, explaining why people can fail to connect with audiences when they communicate patterns in data.

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Individual Differences and Hemispheric Asymmetry While Processing Emotional Words

Journal of Individual Differences ◽

10.1027/1614-0001/a000137 ◽

2014 ◽

Vol 35 (3) ◽

pp. 137-143 ◽

Cited By ~ 1

Author(s):

Lindsay M. Niccolai ◽

Thomas Holtgraves

Keyword(s):

Individual Differences ◽

Hemispheric Asymmetry ◽

Past Research ◽

Decision Task ◽

Depression And Anxiety ◽

Hemispheric Differences ◽

Affective Valence ◽

Emotional Words ◽

Emotion Words ◽

The Right

This research examined differences in the perception of emotion words as a function of individual differences in subclinical levels of depression and anxiety. Participants completed measures of depression and anxiety and performed a lexical decision task for words varying in affective valence (but equated for arousal) that were presented briefly to the right or left visual field. Participants with a lower level of depression demonstrated hemispheric asymmetry with a bias toward words presented to the left hemisphere, but participants with a higher level of depression displayed no hemispheric differences. Participants with a lower level of depression also demonstrated a bias toward positive words, a pattern that did not occur for participants with a higher level of depression. A similar pattern occurred for anxiety. Overall, this study demonstrates how variability in levels of depression and anxiety can influence the perception of emotion words, with patterns that are consistent with past research.

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