Emotional Tendencies Research Articles

Evaluating the Impact of Internet Users' Emotional Tendencies on Opinion Dynamics through Computer-Assisted Sentiment Analysis of Texts

- Internet communication is characterised by "non-linear flow" and "unorganised aggregation," and computer-assisted text sentiment analysis is an important means of evaluating the impact of netizens' emotions on the dynamics of public opinion. The uncertainty, anonymity, disorder, and blindness inherent in fast-gathering and fast-dispersing Internet communication drive the continuous generation of texts, which has an important impact on public opinion. In order to study this issue in depth, this paper chooses two text types of "popular Weibo" and "popular topics" in Sina Weibo as the object of study and analyses the issue in detail from the two dimensions of agenda construction and agenda setting. In the process of the study, the required text data were collected through Python, and the theoretical assumptions were verified with text analysis methods to explore the influence of text sentiment bias on opinion diffusion, with a view to providing new insights and references for the application of the theory of opinion diffusion and the field of computational diffusion.

Modesty’s inoffensive self-presentation

ABSTRACT Philosophers often characterize modesty as a disposition that primarily or exclusively involves individual attitudes about one’s worth in relation to others. Borrowing from William James, I offer an interpersonal view of modesty that requires an emotional disposition sensitive to causing others offense based upon one’s self-presentation. On this view, modesty is a trait with the following three necessary features: (1) the modest person, A, endorses a norm of self-presentation M, (2) A is justified in believing that another person, B, endorses M, and (3) A is emotionally disposed to avoid offending B by violating M. These conditions account for the variety of modesty norms about one’s merits and achievements, personal objects, and traditional modesty norms in dress and self-presentation.

ARIMA-BPNN based Stock Price Prediction Model Based on Fusion News Sentiment Analysis

In recent years, the prediction of stocks has mainly focused on improving and combining stock prediction algorithms, or analyzing news sentiment tendencies to simulate subjective investor consciousness. However, both methods have shortcomings in practicality and comprehensiveness. Therefore, based on the use of stock data, the sentiment propensity of vocabulary in the article was processed, and a new algorithm model was obtained by combining the differential integration moving average autoregressive model and backpropagation feedforward neural network model. Finally, sentiment propensity was integrated into the combination model to obtain an algorithm model that integrates sentiment analysis. After optimizing the sentiment vocabulary of news. The algorithm has improved its ability to recognize emotional tendency words, while traditional algorithms have been improved to improve the accuracy of stock prediction, further verifying the relationship curve between emotional tendency and stock prediction fluctuations. The experimental results show that the combined model of sentiment analysis is close to the true value in predicting stock results, with an error of less than 1.5%. The accuracy and stability of the model’s prediction results are significantly better than the uncombined model and traditional prediction models. The new combination model provides better judgment basis for investors through experimental prediction results, creating conditions for investors to avoid stock market risks and improve investment value.

The impact of ESG on management tone: Empirical evidence from China

<p>This paper examines the effect and mechanism of ESG (Environmental, Social, and Governance) performance on management tone from the perspective of psychology and behavioral finance. The study found that ESG performance can significantly improve the enthusiasm of managers’ intonation, which is more obvious when the population density of the enterprise is higher. The mechanism analysis shows that the ESG performance of enterprises mainly affects the tone of managers through two channels: reducing financing constraints and improving financial performance. This paper examines the internal logic of ESG practice on managers’ emotional tendencies from the perspective of psychology and behavioral finance, and reveals that ESG practice does not make managers become negative.</p>

The influence of emotional tendency on the dissemination and evolution of opinions in two-layer social networks

To investigate the influence of emotional tendency on the dissemination and evolution of opinions, in this paper, we first propose a novel algorithm to construct a two-layer social networks, who is composed of a strong-tie subnet and a weak-tie subnet. Considering the weights on the strong-tie and weak-tie networks and the subjective emotional tendencies of individuals, the HK model with emotional tendency (i.e. E-HK model), the weight HK model (i.e. WHK model), and the weight HK model with emotional tendency (i.e. E-WHK model) are put forward. Finally, according to the algorithm and the E-WHK model newly presented, we use the seventh census data to construct a social network, and explore individuals' opinion evolution, as well as the influence of three factors, including the level of subjective emotional tendency, the trust radius, and the proportions of individuals with different emotional tendencies. Abundant simulations demonstrate that the E-WHK model can explain the dissemination and evolution of opinions very well. In addition, the greater the level of emotional tendency, the faster the convergence of individuals’ opinions. Increasing the trust radius will make completely positive and negative opinions decrease. Enhancing the proportion of optimists/pessimists, most individuals' ultimate opinions tend to be completely positive/negative. The results of this paper provide theoretical methods and analytical tools for managers in guiding public sentiment during public events.

A Shorter Version of the Revised Francis Psychological Type and Emotional Temperament Scales (FPTETS-R)

Abstract: The Francis Psychological Type and Emotional Temperament Scales (FPTETS) operationalize the psychological-type model of personality alongside emotional temperament. The scales have been widely used in research as continuous variables that explain a wide range of religious beliefs and attitudes. The full instrument consists of five 10-item scales so a shorter version would be useful in longer surveys where completion time needs to be minimized. This study uses data from 700 Church of England clergy who completed the revised version of the FPTETS to reduce the 10-item scales to 6-item scales. Ant colony optimization was found to be a better way of selecting the final items than reliability optimization alone because it balanced individual scale reliabilities with maintaining the factor structure of the overall instrument. The selected scales were validated using data from 1,194 lay people from the Church of England, and two samples of 884 clergy and 2,765 lay people from the Episcopal Church (USA). The short scales are commended for use where the need is for continuous scale scores rather than producing psychological typologies.

Research on emotional analysis and integration of multimodal data report

In recent years, emotional analysis has remained a hot topic, permeating people's daily lives and playing an indispensable role in various environments. Researchers can improve products and services and forecast user behavior using sentiment analysis to understand consumers' emotional inclinations and reactions. This paper's comprehensive review of emotional analysis is conducted through various research data. This study integrates emotional analysis and multimodal data research, elaborating on emotional analysis's characteristics and pros and cons from aspects such as facial expressions, voice information, and textual data. This paper points out the current applications of emotional analysis and recent research advancements, selecting various features and methods for emotion tendency classification, and utilizing existing technological tools for analysis. Lastly, this work combines multimodal data with various studies to make emotional analysis more widely and aptly applied in everyday life. There are greater opportunities for sentiment analysis in various domains thanks to the advancements in multimodal sentiment analysis research and modal fusion technologies.

The impact of ESG on management tone: Empirical evidence from China

This paper examines the effect and mechanism of ESG (Environmental, Social, and Governance) performance on management tone from the perspective of psychology and behavioral finance. The study found that ESG performance can significantly improve the enthusiasm of managers’ intonation, which is more obvious when the population density of the enterprise is higher. The mechanism analysis shows that the ESG performance of enterprises mainly affects the tone of managers through two channels: reducing financing constraints and improving financial performance. This paper examines the internal logic of ESG practice on managers’ emotional tendencies from the perspective of psychology and behavioral finance and reveals that ESG practice does not make managers become negative.

Differences in Emotional Preferences toward Urban Green Spaces among Various Cultural Groups in Macau and Their Influencing Factors

This study explores the diversity in emotional tendencies and needs toward urban green spaces (UGSs) among people from different cultural backgrounds in the wave of cultural integration. We utilized social media data as research tools, gathering a wide range of perspectives and voices. Utilizing geolocation data from 176 UGSs in Macau, we collected 139,162 social media comments to analyze the emotional perceptions of different cultural groups. Furthermore, we conducted regression analysis on the number of posts and emotional intensity values from four linguistic groups—Chinese, English, Southeast Asian languages, and Portuguese—in UGSs, correlating them with ten locally relevant landscape features. Our findings reveal diverse attitudes, emotional inclinations, and functional and design needs of different linguistic groups toward UGSs, as follows: (1) there were significant differences in emotional intensity and tweet counts across 176 UGSs; (2) Chinese and Portuguese speakers showed a more positive attitude toward plazas and natural ecological areas, whereas English- and Southeast-Asian-language speakers tended to favor recreational areas and suburban parks; (3) Chinese speakers exhibited a more positive emotional intensity toward sports facilities, while English speakers placed more emphasis on green space areas, architecture, sports infrastructure, and plant landscapes; (4) there was no specific landscape feature preference for Portuguese- and Southeast-Asian-language speakers. This research not only deepens our understanding of the emotional perceptions and preferences of UGSs among different cultural groups but also explores the association between these groups and various urban landscape features. This provides important theoretical and practical insights for future UGS planning, construction, and promoting multicultural coexistence for sustainable urban development.

When do children begin to care for others? The ontogenetic growth of empathic concern across the first two years of life

Empathic concern for others plays a central role for human cooperation and is proposed to be key in moral development. Developmental theories disagree on the age of emergence of empathic concern in human ontogeny and the factors supporting its early development. To assess different theoretical views, the current study longitudinally assessed infants’ (N = 127) reactions towards an experimenter and their mothers simulating pain at 6, 10, 14, and 18 months. As an emotional control condition, infants’ reactions towards a laughing experimenter were assessed. Maternal sensitivity, children’s temperamental emotionality, and self-recognition were included as predictors. True intraindividual change models were applied to capture the growth of empathic concern in early development. Overall, there were minor and inconsistent differences in children’s responses to laughing and crying others in the first year of life, whereas clear differences emerged in the second year. At 6 months, scale values of empathic concern were significantly related to measures of infant distress suggesting that infants experience emotional contagion and not veridical empathic concern. At 18 months, children’s concern towards the experimenter was related to their concern towards their mother. Maternal sensitivity, negative emotionality and self-recognition were related to children’s empathic concern within the second year. These findings suggest that empathic concern emerges in the second year and point to a gradual emergence of concern for others in human ontogeny.

Research on Barrage Text Mining and Emotional Orientation in Online Interactive Learning Videos: Based on the Case Study of "Luo Xiang's Criminal Law"

This study uses text mining and sentiment analysis methods to analyze the barrage text information of "Luo Xiang's Criminal Law" online teaching videos and sort out the main emotional tendencies of users. The research found that user emotions change with the dispersion of hot topics, showing a decentralized characteristic, and at the same time, users still have a certain lack of capture for the content of online teaching videos in the interactive learning process. It is urgent to clarify the specific impact of technology on users. This study is helpful for deepening research on online interactive learning, clarifying user emotional tendencies, and providing a decision-making basis for accurately improving interactive learning effects.

Do vocal cues matter in information disclosure? Evidence from IPO online roadshows in the SSE STAR market

In this study, we investigate whether vocal cues expressed by management in IPO online roadshows in the SSE STAR Market play an information role. Using deep learning techniques, we classify the emotional tendencies of vocal cues in IPO online roadshows and construct quantitative proxy variables. After a series of empirical analyses, we find that vocal emotions are positively associated with first-day stock returns after IPO. In addition, we find that vocal emotions have predictive power for future operating performance after IPO. Our findings still hold after a series of robustness checks. Through additional analyses, we provide evidence that information content in the prospectus and investor sentiment play moderating and mediating roles, respectively, in the relationship between vocal emotions and the first-day stock returns after IPO. Moreover, we find that the vocal emotions expressed in the presentation section and the management tone in the Q&A section develop synergistic effects. Finally, we find that the information role played by vocal emotions exhibits timeliness. Our findings elucidate the information role of vocal cues and highlight the importance of IPO online roadshows in the SSE STAR Market.

Emotional Landscapes in Urban Design: Analyzing Color Emotional Responses of the Elderly to Community Outdoor Spaces in Yi Jie Qu

Addressing the emotional needs of the elderly in urban space design has increasingly become a vital concern. This study innovatively integrates emotional theories with the design of community outdoor spaces, thereby expanding the research on emotional categorization in urban spaces. At 8 community outdoor space sites in Yi Jie Qu, China, 330 elderly residents were randomly recruited to assess their color emotional responses (CER) to the color landscapes of these spaces. Based on the Affective Circumplex Model and Japanese Color Image Theory, a Color Emotion Circumplex was constructed to visually represent the overall emotional tendencies and significant positive emotions of the elderly. The second innovation of this research lies in exploring the driving factors behind positive emotional responses of the elderly, the primary user group of community outdoor spaces. We analyzed the significant differences in CER between autumn and winter scenes, employing variance analysis, correlation, and regression to investigate the substantial effects of individual factors and color characteristics on positive CER. The study discovered that the elderly exhibit a stronger CER towards clean and healthy emotions. Notably, CER was more pronounced in autumn scenes compared to winter. Furthermore, educational level, visit frequency, and color brightness positively influenced positive CER, whereas walking time from residence and the color area ratios of blue and gray negatively impacted CER. These findings not only provide a theoretical basis for age-friendly color design in community spaces, but also offer new perspectives and practical guidance for the international community planning and design domain. Our research underscores the importance of incorporating the emotional needs of the elderly into urban space design, offering novel theoretical and practical guidance for future urban planning and community design.

IntelliView: An AI Based Mock Interview Platform

The IntelliView initiative represents a pioneering endeavor designed to empower novice job seekers through the integration of state-of-the-art Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies. This platform employs a sophisticated blend of HTML, CSS, JavaScript, and the Deep Face method, introducing a comprehensive framework to redefine interview assessment and augment job application preparation. The primary module facilitates text-based analysis, enabling users to engage with real-time interview questions by entering responses directly into the web interface. Subsequently, advanced algorithms compare users' responses to expected answers, yielding a percentage similarity score and presenting the correct answer. Beyond affording essential interview practice, this feature furnishes constructive feedback, enhancing users' responses and ultimately refining their interview performance. In the second module, IntelliView introduces a dynamic interview environment with video-based analysis. Users respond to inquiries utilizing webcams, enabling the system to meticulously record both verbal responses and facial expressions. Leveraging the Deep Face method, the platform conducts real-time emotion and sentiment analysis, offering users insights into their emotional states throughout interviews. This feedback facilitates the refinement of non-verbal communication skills, empowering candidates to recognize emotional tendencies and adapt interview strategies accordingly. The third module functions as a comprehensive resume builder, employing HTML, CSS, and JavaScript to provide diverse templates tailored to individual needs. In summation, IntelliView heralds a transformative paradigm in job application preparation, seamlessly amalgamating technological advancements and human interaction to equip first-time job seekers with the requisite tools for navigating the competitive job market successfully. Key Words: Interview Assessment, DeepFace, NLP, Text- based analysis, Video-based analysis, Resume Builder

Chinese young adults' perception of fertility: Emotional contagion in fertility policy discussions on Sina Weibo

We investigated the reactions and preferences of the Chinese populace, particularly young adults, toward China's three-child policy, a recent strategy aimed at addressing the nation's aging population that allows couples to have up to three children. By monitoring Sina Weibo discussions related to fertility policies, we gauged public sentiment and potential emotional contagion. We collected 711 main posts and 26,515 responses and used the sentiment analysis method to identify the emotional tendencies of each post, thus determining if emotional contagion occurred. Results showed there were 631 posts with negative emotional contagion effects and 554 posts with positive emotional contagion effects. Further textual analysis indicated that the Chinese public maintains a pessimistic outlook on the three-child policy and expresses concern about the detrimental impact of social circumstances and the difficulties women encounter concerning fertility.

A Study on the Emotional Tendency of Aquatic Product Quality and Safety Texts Based on Emotional Dictionaries and Deep Learning

A Study on the Emotional Tendency of Aquatic Product Quality and Safety Texts Based on Emotional Dictionaries and Deep Learning

K- Part’s Choice of Tag Question at the End of the TCU

In daily conversation, there are many types of interrogative questions that can be used to confirm information. In the reporting sequence environment, it is a very dangerous behavior for K- to report to K+ or for K- to give feedback to K+. In the process of sequence development, both sides of the conversation will inevitably show their stance on the relevant events in the turn design. When K - need to make statement for the related event, from the perspective of epistemic primacy, K- Do not have the right to affirm, so K - party usually choose a tag question with optimization at the end of the turn, the purpose is that can show their own emotional tendencies and appropriately at the same time reduce the power of emotional statement. The use of such conversational conventions enables both parties to know each other’s stance while maintaining harmonious social relations. This study uses the method of conversation analysis to explore the specific sequence environment of tag questions and the social effects of tag questions.

An Analysis of the English Translation of The Class Struggles in France Based on AntConc

Studying Marx’s analysis of class struggles in France provides insight into historical socio-economic dynamics, revealing patterns of oppression, resistance, and revolution. It elucidates the role of the bourgeoisie and proletariat in shaping societal structures, informing contemporary understanding of power dynamics, inequality, and potential pathways for social change. Based on the English version of the Class Struggles in France, the language use and organization of it are analysed by using the retrieval and analysis functions of AntConc. Through the analysis, its language features are concise, clear structure, strong logicality, key terms centred around the main theme, and a coherent logical relationship. The vocabulary used exhibits emotional tendencies, particularly concerning communism and capitalism, highlighting the author’s emotional attitude.

The Impact of the Emotional Disposition of Healthcare Workers on the Expression of Adverse Events after Primary Vaccination against SARS-CoV-2.

Background and Objectives: Vaccination is one means of SARS-CoV-2 prevention and control. However, despite the effectiveness of vaccination, adverse reactions continue to require vigilance and monitoring. The researchers emphasize the possibility that some of the reported side effects may be psychological in origin. Based on this hypothesis, the main goal of this study was to evaluate the emotional dispositions of healthcare workers who experienced emotions before vaccination and adverse reactions after vaccination. Materials and Methods: This study was conducted between February and May 2021 in the Kaunas Clinics of the University of Health Sciences. A total of 2117 employees of the clinic departments who were vaccinated with two doses of the Pfizer-BioNTech vaccine participated in this study. Statistical analysis was performed on the data using IBM SPSS Statistics®. Results: Most participants (74.5%) experienced systemic (including local) adverse events; 16.5% experienced only local adverse events, and 9.1% experienced no adverse events. The frequency of systemic (including local) adverse events reduced with increasing age (p < 0.05). The main emotions that participants experienced before vaccination were anxiety (37.88%) and happiness (39.02%). Systemic (including local) adverse events occurred 1.26 times more frequently in women than men (77.44% vs. 61.6%, p < 0.05), while local adverse events occurred 1.4 times more often in male participants than in female participants (21.39% vs. 15.27%, p < 0.05). Among the respondents who did not experience adverse events, the most common emotion felt was happiness (25.5%), and most of the participants who experienced systemic (including local) adverse events felt anxiety (42.6%). Conclusions: The information about vaccination and potential adverse events should be targeted at younger persons. It is recommended that women, more than men, should receive professional counseling from psychologists or psychotherapists. The public dissemination of positive messages about the benefits and safety of vaccines prior to a vaccination campaign may alleviate the tension or anxiety felt regarding potential adverse events. Healthcare specialists-both those who work directly with vaccines and those who do not-should maintain a positive psychological attitude towards vaccination, as this can increase patient satisfaction with the benefits of vaccines.

Emotional temperaments in advanced pregnant goats and its relationship with the feto-maternal blood flow and placentome echotexture

The current study aimed to investigate the effect of xylazine sedation (non-sedated versus sedated conditions) and animal temperament on the fetal and maternal hemodynamics during the late stage of gestation in goats. In addition, it aimed to study the concentrations of cortisol and the echotexture of the placentome. Fourteen goats were assigned into two equal groups (n = 7, each) based on the animal’s emotional temperament (calm versus nervous groups). All goats were examined for assessment of the blood flow within the fetal aorta (FA), umbilical artery (UMA), and middle uterine artery (MUA) using color-pulsed Doppler ultrasonography. Goats were exposed to light sedation using the recommended dose of xylazine (0.05 mg/Kg Bw) intramuscularly. Goats in each group were reassessed for the studied parameters after sedation. Blood samples were drawn to determine the concentrations of cortisol. Placentome echotexture pixel intensity (PXI) was evaluated using computer image analysis software. Results revealed the significant impact of the xylazine sedation on the Doppler indices of the blood flow within the measured arteries (FA, UMA, and MUA), the PXI of placentome echotexture, and cortisol concentrations. The emotional temperament of goats had significant effects on the blood flow parameters of the MUA and UMA, concentrations of cortisol, and the PXI of the placentome. The interaction effect (sedation x temperament) was noticed in the measured parameters of the UMA blood flow, fetal heart rate, and cortisol concentrations. In conclusion, xylazine sedation and emotional temperaments induced alterations in the echotexture of the placentomes as well as the hemodynamic parameters of late-stage pregnant goats without affecting the pregnancy outcomes.