Color Emotion Research Articles

Language Expression Differences in Chinese and Western Media Reports from the Perspective of Post-Colonialism Cases Analysis of Beijing Winter Olympics

As the worlds largest winter sports event, the Winter Olympics has a growing global influence. At the same time, this event has also attracted widespread attention from all walks of life. News coverage has influenced peoples minds and ideologies to some extent. In particular, the differences between Chinese and Western cultures in the reporting language of the Beijing Winter Olympics have aroused widespread attention and research. Based on different cultures, this article uses postcolonial theory to explore the background and context of the language of the Winter Olympics coverage. From a postcolonial perspective, this article finds the language reported by the British media has obvious characteristics of discourse dominance and monopoly. In their reporting, a significant proportion of concepts with negative orientation are often used, reflecting their cultural superiority and legacy of colonial past. In contrast, Chinese reporting is more adept at using decorative language and emotional color, using rhetoric to highlight the meaning and emotional connotation of events. This reflects the importance that Chinese culture attaches to harmony, politeness and emotional expression, as well as the embodiment of identity Chinese reporting. This paper systematically analyzes the above language differences and puts forward relevant opinions or suggestions to promote cross-cultural communication and integration.

On the Emotional Colors and Performance Techniques in Brahms' Interlude Op.118 No.2

Johannes Brahms was the last German Austrian classical master of the romantic period. In this era of significant changes in music style, Brahms' early creative style still retained some traces of classical style. However, in his later years, he became more passionate about small genre lyrical works. I believe that these works must be the gentlest and most monologue works of Brahms' life. The interlude Op118 No.2, created in the late period of Brahms, possesses extremely clever creative techniques and extremely beautiful melodies, and is later known as the "Love Letter to Clara". The emotions and performance techniques involved are worth further exploration.

Research on the use of computer-based art elements in digital special effects film and television

Abstract This paper explores the application of “color” elements by combining SD and GoogLeNet models to build a dataset of color emotion imagery for film and television, generating a color emotion adversarial network based on conditional convolution, and designing a deep learning-based color emotionalization method. A feature extraction method is used to explore the application of graphic elements in digital effects films and television. Color features were extracted using the color histogram and color moments, the texture was extracted using the CLBP algorithm, and EEG signals were extracted using the CSP method. After analysis, it is concluded that as the film and TV timeline progresses, the value of RGB of color increases from (10,200) to (30,250), and the hue becomes heavier to pave the way for the restless and negative emotions later. The primary effects of graphical emotions were significantly smaller than 0.05 and were capable of causing emotional changes.

Synesthesia in a Musician Example of "Colours" by B. Appermont for Trombone with Orchestra/Piano

The purpose of the work is a study of the phenomenon of synesthesia in the context of B. Appermont's musical work "Colours" and the identification of objective regularities and the connection between sound and colour palettes, and also the formation of certain common associations. The methodological basis is the application of the hermeneutic method for the interpretation of certain provisions of general scientific methods of analysis and synthesis. The use of the comparative research method contributed to the identification of intonation models, which ensured the expression of synesthetic correspondences in the general form and means of expression. A structural method was also used to organise the presentation of the research material, a comparative method to clarify the specifics of certain conceptual positions. The scientific novelty of the work is due to the study of synesthesia through the prism of the analysis of a modern work, which is a vivid embodiment of the synthetic perception of art, as well as the expression of emotional shades of literal musical colouristics. Conclusions. Despite the subjectivity of human perception of music, there is a whole series of objective associations of emotional colouring of sound through the prism of artistic colouristics. This leads to a broader interpretation of the composer's toolkit for the additional embodiment of the author's subjective thinking. Such means of emotional reflection have not yet gained widespread use in the composer's heritage and require additional research.
 Keywords: synesthesia, colour hearing, Bert Appermont, trombone, "Colours" for trombone with orchestra and piano.

Cognitive Research of Chinese Inverted Sentences under Radiation-Boundary Mark Theory Study

Inverted sentences a commonly used in English expression, and unconventional language order exists in Chinese from the cognitive perspective. It is found that in a specific context, the speaker intentionally highlights the topic focus and expresses the specific emotional color, which can be used as the pragmatic or cognitive reason for Chinese inversion sentences.

Research on Street Color Environment Perception Based on CEP-KASS Framework

The color of urban streets plays a crucial role in shaping a city’s image, enhancing street appeal, and optimizing the experience of citizens. Nevertheless, the relationship between street color environment and residents’ perceptions has rarely been deeply discussed, and most of the existing studies adopt qualitative methods. To accurately and effectively assess the connection between street color environment and residents’ emotional perceptions, this paper introduces a quantitative research framework based on multi-source data called “Color Emotion Perception with K-Means, Adversarial Strategy, SegNet, and SVM (CEP-KASS)”. By combining K-Means unsupervised machine learning and SegNet computer vision techniques, it captures and analyzes visual elements and color data from Baidu Street View Images (BSVI). It then employs a human–machine adversarial scoring model to quantify residents’ perceptions of BSVI and uses the support vector machine regression model to predict the final perception scores. Based on these data, a Pearson correlation analysis and visual analysis were conducted on the elements and color in the urban environment. Subsequently, the streets were classified based on perception frequency and perception scores by integrating multi-source data, and areas within the third ring of Xuzhou City were selected for validating the research framework. The results demonstrate that utilizing street-view images and the CEP-KASS framework can quantitatively analyze urban color perception and establish a connection with residents’ emotions. In terms of color perception, red, orange, and blue all have a strong positive correlation with the interesting score, whereas black is positively correlated with a sense of safety. Regarding color attributes, low-saturation bright colors result in higher fun perception scores in urban spaces; too low saturation and brightness can affect their attractiveness to residents; brightness has an inverse relationship with the perception of safety, and adjusting brightness inversely can improve the perceived safety experience in certain urban external spaces. The street classification criteria based on perception frequency and perception scores proposed herein can provide references for planners to prioritize color transformation decisions, with a priority on emulating HSHF streets and transforming LSHF streets. When formulating color planning, suggestions for color adjustment can be given based on the correlation study of color with visual elements and perception scores, optimizing urban residents’ spatial perception and their emotional experiences. These findings provide robust theoretical support for further enhancing the visual quality of streets and refining urban color planning.

КОНЦЕПТЫ НАСЕКОМЫХ-ПАРАЗИТОВ В РУССКОЙ И ФРАНЦУЗСКОЙ ЯЗЫКОВЫХ КАРТИНАХ МИРА

This article focuses on the study a person's worldview under the influence of their mother tongue and the culture it reflects. The article examines the notion of a picture of the world as a set of concepts, which includes a cultural and historical component and has an emotional colouring. The notion of the language picture of the world, which lies in the ethnospecific totality of human knowledge, imprinted by him in the language form, is also considered in close connection with the concept of the picture of the world. The article presents a comparative analysis of the concepts of insect parasites: "flea", "louse", "bedbug" in the Russian and French language pictures of the world. While examining these concepts the author studies signifier of a lexical unit and ethno-cultural layers, without which a lexical unit is not conceived by native speakers. A special role in the analysis of the concepts "flea", "louse" and "bedbug" is played by phraseological units and proverbs containing these lexical units. Finally, there are conclusions about the similarities and differences in the perception of the studied concepts in the Russian and French language pictures of the world.

Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning

With the popularity of social media, opinion mining has gradually become a popular research field. Among these fields, sentiment analysis mining is an important research direction in the field of opinion mining. It aims to reveal the public's sentiment tendency, and attitude towards specific topics or events by analyzing text data generated by users on online platforms and digital media. However, the large amount of opinion data usually lacks effective annotation, which limits the learning and construction of opinion models. Therefore, focusing on the problem of the scarcity of labeled data in opinion analysis, this paper proposes a mining method for public opinion sentiment analysis based on multi-model fusion transfer learning, that can make full use of the limited labeled data to improve the learning efficiency of sentiment features by integrating the advantages of different models. Additionally, it introduces a transfer learning strategy to enable the models of the target domains to perform better in the absence of labeled data. Furthermore, the attention mechanism is combined to strengthen the acquisition of key features of the emotional colors and improve the accuracy of sentiment analysis. Specifically, the paper uses the ERNIE model to generate dynamic representations of the text word vectors in the dataset. It also uses TextCNN and BiGRU to construct a joint model for extracting local and overall features of the text word vectors. The parameters of the feature layer of the trained model are migrated to the target domain through transfer learning. The attention mechanism is combined with the model to identify the extreme elements of the sentiment. Finally, the local and overall features are fused to achieve comprehensive mining of public opinion and emotional information. This method can effectively improve the accuracy and generalization of public opinion analysis in cases of data scarcity. In the experimental part, the paper conducts comparisons and analyses in eight aspects: word embedding model, model combination, attention mechanism, transfer learning, source domain dataset, target domain dataset, model training, and baseline model. The four indicators, namely accuracy, precision, recall, and F1-measure are used to evaluate the performance of the method. The experiments are thorough and detailed, demonstrating the effective improvement of opinion mining performance.

The application of communication art in tea packaging design under the modern aesthetic perspective

Abstract This paper first explores the color emotion analysis of visual communication art, using linear equations and correlations to analyze the correlation between color emotion and image color space and classifying the degree of warmth and coldness and emotional expression of various colors. Then a multi-model hybrid color emotion calculation method is proposed, using positive-negative attribute values to get color positivity-taking values, using heavy-light to get color weight-taking values, and using warm-cold to get color heat-taking values, respectively. And the global color emotion feature of the image is calculated by using the extraction algorithm of central area weighted features. Finally, the influence of visual communication art on tea packaging is analyzed in terms of graphic design, color and layout of the packaging. In terms of packaging focus, 64 people think that they should focus on the embodiment of humanistic customs and culture, 87 people think they should focus on aesthetic aesthetics, and 75 people think they should highlight the characteristics of the product. In terms of the cultural and emotional orientation of packaging, 70.9% of people think that packaging diversity is the main tendency, and 50.9% think that retro style can better reflect the cultural characteristics of tea. The art of visual communication makes tea packaging design more design and aesthetic.

МЕДИАОБРАЗ КИТАЯ НА СТРАНИЦАХ ЖУРНАЛА «СОВРЕМЕННИК» (1840–1860-Е ГГ.)

The article analyses the media image of China presented in Russian pre-revolutionary magazines. The object of the study is the image of China in Sovremennik magazine in 1840–1860s. China and Russia have a long history of interaction, and the reception of the image of China is also present in Russian journals of the 19th century. The media image of China reflects the social situation in Russia at the time and reveals the psychology of authors writing about China, and at the same time has important theoretical and practical significance. A country’s image must be presented in a certain way, and the media is undoubtedly one of the most popular and best ways to present a country’s image. In the field of communication, the image of a country refers to the external image shaped and displayed by a particular country in the various media. There is no doubt that all countries in the world attach great importance to the important role of the media in shaping a country’s image. Many scholars refer to this as the “media image of the country”. The study of the media image of a country helps to link the “physical image” of the country with the “cognitive image”. In this article, more than a dozen articles about China published by Sovremennik magazine in 1840-1860s are selected. To solve the set tasks, the method of textual analysis is used. It is noted that in Russia in historical retrospect periodicals expressed different positions with regard to China. The media image of China has its positive and negative aspects: China is a symbol of stagnation and stagnation; China was once an important part of the history of world civilisation development. The author comes to the conclusion that the image of a foreign country is not a reproduction of the real situation there, but is created in accordance with national understanding and desires, which have a strong subjectivity and emotional colouring. Russian publicists of the time turned to the image of China to express their ideas about Russian society, the authors seek an external perspective to explore their own country.

Have color representations in books changed over the past 200 years? An empirical analysis based on the Google Books Ngram corpus

AbstractColor significantly shapes our perceptions of the world, and extensive scientific research has explored various aspects of color, including color linguistics, aesthetics, color and marketing, color therapy, and color psychology. Notably, there has been an increasing interest in understanding the psychological domain of color in recent years. However, limited scholarly attention has been given to studying the changes in color representations and emotions over the decades. To address this gap, we utilized word embedding models of Google Books Ngrams corpus to examine the most strongly associated entities and traits with colors and their evolution in color emotions over 200 years. Analyzing three emotional dimensions—pleasure, arousal, and dominance (PAD), we found that red, green, white, black, orange, purple, brown, and pink were related to the exuberant type (+P + A + D) in PAD emotional space. In contrast, blue was linked to the relaxed type (+P−A + D), and yellow constituted the anxious type (−P + A−D). Among all basic English color terms, the emotion‐driven perceptions associated with white, brown, and pink have significantly changed over time.

On the Use of exaggeration in visual communication design Project Teaching

The impact of visual communication design has become increasingly influential in modern society. Exaggerated techniques inject a strong emotional color into the artistic beauty of visual communication design, making the work more appealing and causing a strong visual effect, which is without a doubt the key to adding color to the work. This paper mainly discusses the five forms of expression and function of exaggeration in visual communication design, the essence of exaggeration in visual communication design, and how to correctly use exaggeration techniques in visual communication design from the two perspectives of sensibility and rationality. Designers must fully understand the relationship between the exaggeration and authenticity of exaggerated techniques when using exaggerated techniques, grasp the "degree" of exaggerated techniques in visual communication design, and find the convergence of sensibility and rationality, so that exaggerated techniques can better serve visual communication design, otherwise it will produce negative communication effects.

Retracted: Analysis of Emotional Color Representation in Oil Painting Based on Deep Learning Model Evaluation

Retracted: Analysis of Emotional Color Representation in Oil Painting Based on Deep Learning Model Evaluation

Method of Modeling and Harmonic Synthesis of Phonemes of Human Speech with Emotional Coloring

Method of Modeling and Harmonic Synthesis of Phonemes of Human Speech with Emotional Coloring

USING LONG SHORT-TERM MEMORY NETWORKS FOR NATURAL LANGUAGE PROCESSING

The problem of emotion classification is a complex and non-trivial task of language interpretation due to the natural language structure and its dynamic nature. The significance of the study is in covering the important issue of automatic processing of client feedbacks, collecting opinions and trend-catching. In this work, a number of existing solutions for emotion classification problem were considered, having their shortcomings and advantages illustrated. The evaluation of performance of the considered models was conducted on emotion classification on four emotion classes, namely Happy, Sad, Angry and Others. The model for emotion classification in three-sentence conversations was proposed in this work. The model is based on smileys and word embeddings with domain specificity in state of art conversations on the Internet. The importance of taking into account the information extracted from smileys as an additional data source of emotional coloring is investigated. The model performance is evaluated and compared with language processing model BERT (Bidirectional Encoder Representations from Transformers). The proposed model achieved better performance at classifying emotions comparing to BERT (having F1 score as 78 versus 75). It should be noted, that further study should be performed to enhance the processing by the model of mixed reviews represented by emotion class Others. However, modern performance of models for language representation and understanding did not achieve the human performance. There is a variety of factors to consider when choosing the word embeddings and training methods to design the model architecture.

Deep Learning-Based Machine Color Emotion Generation

This paper investigates generating machine color emotion through deep learning. The grayscale image colorization model's training process resembles human memory color. Sixty images were recolored and quality evaluated to explore machine generated color impressions. Six experimental samples were recolored under D65, A, CWF, and TL84 light sources. Changes in lightness, chroma, and hue angle compared the original and colorized images, exploring light source effects on machine color perception. Analyzing differences in coloring results within the CIEL* a* b* color space for pixels with equal grayscale verified machine color emotion generation. Results show the machine learns to form color impressions from samples. Different light source color temperatures impact color prediction accuracy. The machine accurately colors images based on semantic context, demonstrating spontaneous color emotion generation through deep learning. This research positively contributes to the development of intelligent devices with color emotion.

Melody Master Tchaikovsky: Analysis of Ethnic Colors in the Piano Suite "Four Seasons"

Tchaikovsky was a great musician in Russia during the Romantic period. Due to his melodic works, he was known as the "master of melody" in Russia and received an honorary doctoral degree from the University of Cambridge in the United Kingdom. His creative genres cover a wide range of opera, dance, symphonies, concertos, and piano works. His music incorporates the characteristics of folk songs and his works reflect the oppressive psychology of the Russian people under the Tsar's rule, as well as their longing and longing for a better life in the future. He is committed to revealing the conflicting emotions within people's hearts. His later works are full of strong dramatic conflicts, his own thoughts on life, and fiery emotional colors. This article takes Tchaikovsky's piano suite "Four Seasons" as the text, and analyzes the ethnic characteristics of Tchaikovsky's works from the perspective of ethnology, using acoustic methods. The aim is to clarify the ethnic colors in "The Four Seasons" and reveal the profound ethnic connotations in Tchaikovsky's music works by utilizing elements such as harmony and melody.

An Overview of Contrastive Analysis of Intonation and Structural-Semantic Characteristics of Disjunctive (Tag Questions) and Alternative Questions in English and Armenian

Key words: communication, interrogative sentences, intonation pattern, question-word, literary speech, colloquial speech, limited choice, comparative analysis In all languages intonation serves for the external colouring of speech because it is mainly by means of intonation we realize the character of the utterance, i. e, whether the utterance is a question or a declarative sentence (narrative). Moreover, by means of intonation we can express joy, surprise, displeasure or even irritation and anger. During the process of foreign speech-perception (even in case of good knowledge of language), finer shades of meaning uttered with unfamiliar intonation means are lost on the listener. The significance of complete oral speech-meaning presupposes the combination of corresponding proper grammar and lexical structures. Two aspects should be distinguished in intonation. The first aspect can be called communicative, as through intonation we express complete and non-complete statements, find out whether the uttered statements contain questions or responses and so forth. The second aspect can be called emotional, as intonation contains certain emotional colouring which expresses the emotional state of the speaker, sometimes the speaker’s intention ( not always fully perceived by him) to influence the imagination and the feelings of the listener. The present research article provides overview of comparative analysis of intonation and structural-semantic characteristics of Disjunctive and Alternative questions in English and Armenian. The contrastive analysis of the intonation and structural-semantic characteristics of the above mentioned questions in English and Armenian, first of all, presupposes the corresponding choice of communicative types of speech which on their turn determine the choice of the similar speaking (speech) situations. As a result of the analysis of the intonation and structural-semantic characteristics of Disjunctive and Alternative questions in English and Armenian, certain basic similarities and divergences are revealed in contrasted languages.

Поетична метафізика прози Івана Ковача

The article under studies presents the first ever attempt to reveal the basic features of the prose of the prominent Ukrainian poet, prose writer, literary critic, and journalist Ivan Kovaci (born in 1946). It lays particular emphasis on the peculiarities of modeling the chronotope of the prose contained in three books by the writer: “A Sycamore Tree Alone in the Field” (1974), “Chuha” (1976), and “Orange Ballad” (2006). It also analyzes the narrative strategy of the writer’s artistic thinking at the level of lyrical confession of the narrative, investigates its genre specificity and the role of leitmotif detail, as well as traces the synthesis of arts in writer’s creative workshop at the level of coloring, etc. In terms of genre and style features, Ivan Kovaci’s prose is comprised of stories of various types: both lyricized, with a weakened plot, and works that are close to the genre of the classical short story. Their structure is based on an eloquent detail that creates an appropriate emotional coloring. The article claims that prose is an organic and natural part of Ivan Kovacs’s creative activity. Lyricized short stories, etudes, short stories with classical architectonics, a short story-ballad, confessional lyrical prose, together with poetry, create the unity of his artistic world. The peculiarity of the poetic metaphysics of the writer’s prose lies in his peculiar worldview pantheism and subtle sense of beauty. It is essential that the time-space of prose is also close to poetry: it is a “point” chronotope, located at the intersection of the coordinates of the “objective” (given in the narrator’s perception) and subjective-experiential space-time. This feature is especially evident in the story “Chuha”, a kind of mosaic of life. Fictional time and space are subject to mythologization and symbolization, as the lyrical hero is constantly trying to cross the line that separates him from the “golden age” of childhood. Another sign of the poetic nature of the writer’s prose is its deep psychology combined with lyricism. The most eloquent feature of Ivan Kovaci’s style is his special ability to use color. This peculiar synthesis of arts in the writer’s creative palette turned out to be a special, symbolic load of images with a bright coloristic dominant.

Дидактический потенциал новостных видеосюжетов на занятиях по русскому языку как иностранному

The article is devoted to the study of the didactic potential of authentic journalistic news videos in classes in Russian as a foreign language. By authentic materials, authors mean printed texts, videos and audio recordings that students face in everyday life – outside the classroom; at the same time, the main purpose of such materials is not to teach the language, but to transfer information and organize real communication. This kind of journalistic video material is considered in this study as a means of forming the language and socio-cultural competencies of students of the Russian language as a foreign language. The article emphasizes the specifics of this kind of educational content: the use in a large number of colloquial vocabulary, speech clichés, professional terms, words with emotional coloring, evaluative vocabulary, equivalent vocabulary, phraseological units, metaphors, quotes and reminiscences that imply knowledge of precedent texts, specific gestures, facial expressions, etc. The authors cover various approaches to the problem of using authentic texts in the practice of teaching Russian as a foreign language, determine the main criteria for selecting authentic news video materials for Russian as a foreign language lessons, depending on the level of students. The authors emphasize that it is advisable to use news videos as authentic materials in classes in Russian as a foreign language starting from the B1 level: foreign students who speak Russian at this level are able to perceive by ear and understand monological statements within the framework of current socio-cultural topics. As a practical material, the article presents an algorithm for working with news journalistic content in accordance with the level of proficiency in the Russian language, proposed samples of tasks for use in classes in Russian as a foreign language. The methodological basis of the study was the use of the following methods: a descriptive and analytical method, a method of systematization and classification, a design method, as well as a communicative methodology for teaching a foreign language.