Emotional Quality Research Articles

Emotion-aware hierarchical interaction network for multimodal image aesthetics assessment

Image aesthetics assessment (IAA) has attracted increasing attention recently but is still challenging due to its high abstraction and complexity. Intuitively, image emotion and aesthetics are both human subjective feelings evoked by visual content. Previous researches have demonstrated that image aesthetics has intrinsic relationships with emotion. In fact, human emotional experience has potential impact on the perception of image aesthetics. Therefore, emotion information can be exploited to enhance aesthetic representation learning. Inspired by this, this paper presents an Emotion-Aware Hierarchical Interaction NETwork (EAHI-NET) for multimodal image aesthetics assessment, which explores both intra-modal and inter-modal interactions between aesthetics and emotions hierarchically. Specifically, we first propose the intra-modal emotion-aesthetics interaction module to obtain emotion-enhanced visual and textual aesthetic representations respectively. Then we propose the inter-modal feature enhancement to obtain the cross-modal aesthetic and emotion features. Finally, we design the inter-modal emotion-aesthetics interaction module to further investigate the cross-modal interplay between aesthetics and emotion, based on which hierarchical feature representations are achieved for multimodal IAA. The extensive experiments show that the proposed method can outperform the state-of-the-arts on multimodal AVA and Photo.net datasets.

Exploring the impact of seasonal forest landscapes on tourist emotions using Machine learning

This study investigates the emotional changes of tourists experiencing natural forest landscapes in different seasons, which plays a crucial role in the sustainable development of forest landscape systems and forest tourism. However, existing research has limited focus on the temporal impact of detailed elements of forest landscapes on tourists' emotions. We integrated a research framework utilizing methods such as Object Semantic Attention Network (OSANet), High-Resolution Net (Hrnet), EXtreme Gradient Boosting (XGBoost), and SHapley Additive exPlanations (SHAP), thereby uncovering the nonlinear impact of detailed forest landscape indicators on tourist emotions. The results revealed(1) In the past three years, the emotional score assessments of tourists' experiences in natural forest landscapes showed a prevalence of positive emotions at 85.7%, with negative emotions constituting 14.3%. The emotional distribution characteristics varied significantly across seasons, with kernel density peak values of 4.16 in spring, 2.43 in summer, 5.33 in autumn, and 1.74 in winter. (2) The landscape indicators with the most significant impact on emotions across different seasons were Openness in spring, summer, and autumn (with contribution values exceeding 0.16, 0.13, and 0.175, respectively) and Ground exposure in winter (with a contribution value greater than 0.2). The SHAP waterfall charts indicated that the indicators providing a stable positive effect varied by seasonTrees in spring (0.361), Openness in summer and autumn (0.276 and 0.24, respectively), and Mountains in winter (0.145). This study provides a data foundation for the sustainable development of forest landscapes and tourism, aiding planners and managers in understanding the nonlinear impact of detailed elements of forest natural landscapes on tourists' emotions across different seasons. It also broadens the methodologies and perspectives for researching seasonal forest landscape preferences.

Guided and unguided internet-delivered psychodynamic therapy for social anxiety disorder: A randomized controlled trial

Social Anxiety Disorder (SAD) is highly prevalent and debilitating disorder. Treatments exist but are not accessible and/or helpful for all patients, indicating a need for accessible treatment alternatives. The aim of the present trial was to evaluate internet-delivered psychodynamic therapy (IPDT) with and without therapist guidance, compared to a waitlist control condition, in the treatment of adults with SAD. In this randomized, clinical trial, we tested whether IPDT was superior to a waitlist control, and whether IPDT with therapeutic guidance was superior to unguided IPDT. Participants were recruited nationwide in Sweden. Eligible participants were ≥ 18 years old and scoring ≥ 60 on the Liebowitz Social Anxiety Scale self-report (LSAS-SR) whilst not fulfilling any of the exclusion criteria. Included participants were randomly assigned to IPDT with guidance (n = 60), IPDT without guidance (n = 61), or waitlist (n = 60). The IPDT intervention comprised eight self-help modules based on affect-focused dynamic therapy, delivered over 8 weeks on a secure online platform. The primary outcome was SAD symptoms severity measured weekly by the LSAS-SR. Primary analyses were calculated on an intention-to-treat sample including all participants randomly assigned. Secondary outcomes were depressive symptoms, generalized anxiety, quality of life, emotion regulation and defensive functioning. At post-treatment, both active treatments were superior to the waitlist condition with guided treatment exhibiting larger between group effects than unguided treatment (d = 1.07 95% CI [0.72, 1.43], p < .001 and d = 0.61, 95% CI [0.25, 0.98], p = .0018) on the LSAS-SR respectively. Guided IPDT lead to larger improvements than unguided IPDT (d = 0.46, 95% CI [0.11, 0.80], p < .01). At post-treatment, guided IPDT was superior to waitlist on all secondary outcome measures. Unguided IPDT was superior to waitlist on depressive symptoms and general anxiety, but not on emotion regulation, self-compassion or quality of life. Guided IPDT was superior to unguided PDT on depressive symptoms, with a trend towards superiority on a measure of generalized anxiety. At six and twelve month follow-up there were no significant differences between guided and unguided IPDT. In conclusion, IPDT shows promising effects in the treatment of SAD, with larger benefits from guided IPDT compared to non-guided, at least at post-treatment. This finding increases the range of accessible and effective treatment alternatives for adults suffering from SAD. The study was prospectively registered at ClinicalTrials (NCT05015166).

Unspeeded response time as an implicit measure of food appraisal

Affective responses are often adopted as proxy measures of potential food choices. To reliably assess affective responses there is a need for implicit measures that are less prone to cognitive biases, context, lack of introspective capacity, social desirability, and intercultural differences than the explicit self-report measures that are commonly used. In this study, we investigated the relation between unspeeded response time (URT) and the affective appraisal (in terms of valence and arousal) for food images. We find that URT is negatively correlated with both absolute valence and arousal: URT is larger for food images that are rated near-neutral (ambiguous) on valence and low on arousal than for images eliciting more extreme positive and negative affective ratings. Participants need more time for the affective evaluation of food images with lower emotional clarity than those with clear-cut emotional quality. Hence, the URT may serve as a continuous and easily observable implicit evaluation measure that complements self-report measures.

Person-Centered Expressive Arts Therapy in Clinical Settings: A Systematic Review of Quantitative Interventions

Background: Person-Centered Expressive Arts Therapy (PCEAT) integrates the core concepts of humanistic psychology with the expressive arts to improve mental health and well-being. Its efficacy is substantiated by research across varied demographics for multiple psychological conditions. This review critically evaluates the effectiveness of PCEAT in clinical settings, employing quantitative research methods. Methods: The review followed PRISMA guidelines, and was registered at PROSPERO (CRD42023457126) searching eight databases for studies up to November 2023. Inclusion criteria were quantitative evaluations of PCEAT's effectiveness in clinical settings. Studies were assessed for risk of bias and categorized into three levels of evidence. Results: Three studies were included, focusing on dementia patients. These studies utilized various arts activities and showed improved emotional functioning and quality of life. However, all studies had high risk of bias, and the review did not perform a meta-analysis due to the heterogeneity of studies. Conclusions: Although PCEAT demonstrates potential benefits for dementia patients, the existing evidence remains limited and lacks robustness. Future research should incorporate more comprehensive and diverse studies to thoroughly assess PCEAT's efficacy in various populations and settings.

Correlates of quality of life in autistic individuals

BackgroundQuality of life is an important outcome to autistic individuals. However, the correlates of quality of life in this population are not well known. The purpose of this project was to investigate the extent to which employment, depression, anxiety, and social participation were associated with quality of life in autistic individuals. We also explored potential associations between emotion dysregulation and quality of life. MethodBaseline data from two randomized control trials were used for analysis. A total of 125 autistic adolescents and adults aged 16–45 (M = 25.40) participated. Linear regression models were constructed to investigate whether employment, depression, anxiety, and social participation were associated with five domains of quality of life: overall, physical health, psychological, social relationships, and environment. Additional linear regression models explored whether emotion dysregulation was associated with the same quality of life domains. ResultsSurprisingly, employment was not significantly associated with any quality of life domain. Greater depression severity was significantly associated with poorer quality of life across all domains. Greater social participation was associated with better quality of life, but only for individuals with lower anxiety. More severe dysphoria was associated with poorer overall quality of life and the psychological and physical health domains. ConclusionsResults suggest that mental health and emotion dysregulation are important predictors of quality of life for autistic people. They also suggest that anxiety symptoms may attenuate the beneficial effects of social participation. This study provides insight into the unique experiences of autistic individuals and highlights potential unmet need.

Being Nowhere

Concepts of distraction developed in nineteenth century research associate it with transformed urban landscapes in nineteenth century modern cultures. But from the 1930s to 50s Britain, it becomes associated with disorders of domestic spatiality, and a disregard of those design principles of order and hygiene, purpose and function, which were understood to define ‘problem families’. Researchers drew on psychological models of character to propose that these environments produced affective disorders – or defects of sentiment formation – through which adolescent working girls, whose distinctive susceptibilities were formed from the wartime disruptions to familiar landscapes, became predisposed to the lures of distraction. As a disjunctive perceptual disorder associated with transformations in urban spatiality, then, ‘distractibility’ became a symptom of a disruption of the cognitive function associated with that lack of purposiveness, the inability to cultivate ‘homely sentiments’, and the failure of order and demeanour which characterised the environment provided by the problem family. Affective disorders generative of modern forms of female adolescent distraction are seen to bring about a disturbance of perceptual modes that result in psychosis, as the breakdown of consciousness and meaning. As the girls’ immersion in the sensory realm situates them in terms of a ‘dispersal’ across urban landscapes, their attachment to contingent and capricious stimuli is understood to result in a degenerative progression towards the emotional immobility characteristic of the schizophrenic. Within the coordinates of psychological models of distractibility, they become located nowhere.

EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection

Modern social media’s development has dramatically changed how people obtain information. However, the wide dissemination of various false information has severely detrimental effects. Accordingly, many deep learning-based methods have been proposed to detect false information and achieve promising results. However, these methods are unsuitable for new events due to the extremely limited labeled data and their discrepant data distribution to existing events. Domain adaptation methods have been proposed to mitigate these problems. However, their performance is suboptimal because they are not sensitive to new events due to they aim to align the domain information between existing events, and they hardly capture the fine-grained difference between real and fake claims by only using semantic information. Therefore, we propose a novel Emotion-aware Meta Learning (EML) approach for cross-event false information early detection, which deeply integrates emotions in meta learning to find event-sensitive initialization parameters that quickly adapt to new events. Emotion-aware meta learning is non-trivial and faces three challenges: 1) How to effectively model semantic and emotional features to capture fine-grained differences. 2) How to reduce the impact of noise in meta learning based on semantic and emotional features. 3) How to detect the false information in a zero-shot detection scenario, i.e., no labeled data for new events. To tackle these challenges, firstly, we construct the emotion-aware meta tasks by selecting claims with similar and opposite emotions to the target claim other than usually used random sampling. Secondly, we propose a task weighting method and event-adaptation meta tasks to further improve the model’s robustness and generalization ability for detecting new events. Finally, we propose a weak label annotation method to extend EML to zero-shot detection according to the calculated labels’ confidence. Extensive experiments on real-world datasets show that the EML achieves superior performances on false information detection for new events.

Perspectives and Recommendations from Hospitalized Patients with Substance Use Disorders: A Qualitative Study.

Individuals with substance use disorders (SUDs) are hospitalized in growing numbers. Stigma is pervasive among their hospital providers, and SUD management during medical admissions is often inadequate. However, little is known about how these patients perceive their care quality. In particular, few studies have explored their positive care perceptions or recommendations for improvement. To explore perspectives on positive aspects, negative aspects, and consequences of care, as well as recommendations for improvement among hospitalized patients with SUDs. We conducted semi-structured, in-depth bedside interviews (n = 15) with patients who have been diagnosed with a SUD and were admitted to medical or surgical floors of an urban academic medical center. Interviews explored patients' hospital experiences and recommendations for improvement. The interviews were audio-recorded, transcribed verbatim, and imported into NVivo software. Two reviewers independently coded the transcripts using interpretative phenomenological analysis and inductive thematic analysis according to grounded theory, and recurring themes were identified from the data. Patients' demographic and clinical data were analyzed with descriptive statistics. Perceived clinical and emotional proficiency were the most important components of positive experiences, whereas perceived bias and stigmatized attitudes, clinical improficiency, and inhumane treatment were characteristic of negative experiences. Such care components were most consequential for patients' emotional well-being, trust, and care quality. Recommendations for improving care included specific suggestions for initiating and promoting continued recovery, educating, and partnering in compassionate care. Hospitalized patients with SUDs often experience lower quality and less compassionate care linked to pervasive stigma and poor outcomes. Our study highlights under-recognized perspectives from this patient population, including socioemotional consequences of care and recommendations grounded in lived experiences. By striving to advance our care in accordance with patients' viewpoints, we can turn hospitalizations into opportunities for engagement and promoting recovery.

Modern Information Technologies in the Professional Education of Future Primary School Teachers

The article examines the problem of using information technologies in the educational and professional training of future primary school teachers. The authors found that the integration of digital resources into the educational process can effectively solve didactic tasks. It provides opportunities for virtual travel and improves the accessibility and efficiency of education. The application of information technologies contributes to enhancing the educational process. They prepare future teachers to function within the information society and promote the development of critical thinking and creativity among students. The new approach puts the teacher at the center of the educational process. This approach takes into account the professional competencies and personal interests of educators to promote the improvement of methodological, organizational, and technological support for personalized learning. The paper investigated the possibilities of using information technologies in the educational process to train future primary school teachers. The methodology included a systematic approach and general theoretical scientific methods. They include analysis, synthesis, and systematization of the research material on the role of digital technologies in the training of future primary school teachers. The research methodology employed two indicators to assess the psychological and emotional qualities of students, namely: assessment of communication skills; analysis of cultural and value orientations. The research results showed a high level of discomfort related to the current educational system. Nearly half of the respondents experience psychological and emotional stress due to the existing teaching format. In addition, as a result of the program implementation, it was found that the configuration model of student-centered learning applied to distance learning had a significant impact on students. The statistical analysis of the chi-square indices of overall conformity (χ2 = 0.36....1) indicates a high conformity of the data set.

Impact of Empowerment Theory-Based Nursing Intervention on the Quality of Life and Negative Emotions of Patients Diagnosed with Brain Metastasis Post Breast Cancer Surgery.

This study explores the impact of a nursing intervention grounded in empowerment theory, focusing on behavioral change, on brain metastasis patients post-breast cancer surgery. Between June 2021 and June 2023, 102 patients diagnosed with brain metastasis after breast cancer surgery at Bao Ding No.1 Central Hospital were randomized into two groups. The control group (51 patients) received standard nursing care, while the observation group (51 patients) participated in a behavioral change nursing intervention influenced by empowerment theory. The evaluation metrics included measures of negative emotions, compliance with treatment protocols, overall quality of life, and nursing satisfaction, assessed at multiple time points during the study period. The intervention led to significant reductions in negative emotions for all patients when compared to their pre-intervention statuses, with the observation group exhibiting notably lower depression and anxiety scores at one and three months post-intervention (P < 0.05). Additionally, this group achieved higher compliance scores and demonstrated greater improvements in quality of life than the control group (P < 0.05). Nursing satisfaction was also significantly higher in the observation group, with 96.08% reporting high satisfaction compared to 80.39% in the control group (P < 0.05). Implementing a nursing intervention that emphasizes behavioral changes and leverages empowerment theory significantly enhances the quality of life, reduces negative emotions, boosts compliance with treatment, and increases nursing satisfaction among patients with brain metastasis following breast cancer surgery. This suggests that such interventions could be a valuable component of postoperative care for this patient population.

Adolescent Self-harm Behavior Based on Depression, Family Emotional Climate, School Identity, and Academic Performance

Background: This study investigated factors affecting self-harming behaviors and preventing self-harming thoughts and behavior in adolescent girls. Physical, cognitive, and socioemotional changes accompany adolescence. The family and school must support the adolescent in this regard. Methods: The research is a correlational study, and data collection was through the census method. All 150 girls aged between 12 and 24 years who lived in one of the villages (Benoband) of Bandar Abbas City, Iran, in 2022 were recruited. The deliberate self-harm inventory (Gratz, 2001), the Kutcher adolescent depression scale, the dual school climate, and school identification measure-student, the academic performance questionnaire (Pham &amp; Taylor, 1999), and the affective family climate were used for data collection. The collected data were analyzed using multiple linear regression analysis in SPSS software, version 26. Results: The results revealed that depression has a direct relationship with self-harm (0.30), the emotional atmosphere of the family (-0.49), and school climate and identity (-0.49). Also, the academic performance had a significant negative relationship (-0.47) with self-harm (P&lt;0.001). Regression analysis showed that these variables can explain 39% of the variance of adolescent self-harm behavior (F=25.16, P≤0.001). Conclusion: The research showed that teenagers need education and awareness in schools and families. Also, parents’ education to familiarize them with the particular characteristics of adolescents, including their emotional and social characteristics, will lead to a greater understanding of the adolescent in the family and mental and psychological peace of the adolescents. A comprehensive health education program should include coping skills, interpersonal communication, goal setting, anger management, and advocacy skills.

Leveraging Technology Enhancement: The Well-Being Emotional Intelligence, Security Keys to the University Students’ Readiness in Digital Learning Ecosystem

The principle of the digital learning ecosystem is the application of the educational process through digital learning environment platforms that help users learn more effectively. Educational institutions, teachers and students must evolve to adapt and be ready for the new world of learning. The individual’s emotional quality can influence their readiness in the digital learning ecosystem. This study aimed to examine whether there is a significant relationship between students’ readiness in the digital learning ecosystem and their emotional intelligence levels. This study utilized a correlational research method and multiple linear regression analysis. For data collection, the primary tools used were Trait Emotional Intelligence Scale-Short Form (TEIS-SF) and the Online Learning Readiness Scale (OLRS). The questionnaires were administered to 103 students enrolled in seven different higher institutions in Brunei. The results of the research showed that there was a link between students’ online learning readiness levels and their emotional intelligence levels. This study found that students with a high well-being sub-dimension of emotional intelligence had high online learning readiness levels.

The Enactment of a Corporate Entrepreneurial Role: A Double-Edged Sword Forged by Heart and Context

Enacting a corporate entrepreneurial role requires cognitive, behavioral, and emotional qualities. While scholarly work has focused on the cognitive and behavioral aspects of this role, its emotional aspect—how corporate entrepreneurs feel when enacting their role—remains relatively unexplored. Our qualitative study reveals the corporate entrepreneurial role as a source of liabilities and assets for the role incumbents’ work-related identity, which are brought to light as these employees emotionally experience their role. In addition, we elucidate how contextual elements shape this experience, and how corporate entrepreneurs use emotions to work around the detrimental and beneficial effects of their role enactment.

A Qualitative Descriptive Exploration of the Experiences of Burn Therapists.

Exposure to patients who have experienced major traumatic events places burn therapists at risk of developing high levels of anxiety and stress, directly impacting their quality of life. Poor professional quality of life has been associated with negative physical and emotional characteristics in healthcare professionals and may subsequently influence patient safety and satisfaction, job retention, and productivity. The purpose of this study was to understand and describe the experiences of occupational and physical therapists who provide acute therapy to people who have sustained burn injuries. Semistructured interviews were completed with 10 participants (8 females and 7 physical therapists) for this qualitative descriptive study. Conventional content analysis was used to analyze the data collected from semistructured interviews. Six themes emerged after content analysis: (1) the importance of therapeutic relationships to patient successes and therapists' retention; (2) the autonomy and flexibility of burn therapists; (3) the impact of career longevity on compassion; (4) the uniqueness of burn team relationships and camaraderie; (5) the challenges of operating within the business of a healthcare system; and (6) the physical, mental, and emotional challenges to the burn therapists' resiliency. This research brings to light the physical, mental, and emotional challenges that impact burn therapists' resiliency, and which should be considered when creating programs to increase retention and professional quality of life in this professional population.

Sounds, Emotions, and the Body in Pentecostal Romani Communities in Slovakia

In the past, the Romani in Slovakia identified with the prevailing religion, mainly with the Roman Catholic Church. However, the missionary activities of various Christian denominations after 1990 resulted in the conversion of the Romani to Pentecostal Christian communities. This launched a long, creative process of the formation of Pentecostal Romani music. Romani believers consider music and the ability to play and sing to be a gift from God and view these as a form of prayer that should serve for the praise of God. That is why many have given up their worldly music making and now play only praise songs. They gradually modified the hymns they borrowed and replaced them with their own creations. The soundscape of religion does not lie only in religious singing and music, as the emotional sermons and prayers, glossolalia and sounds during the healing and blessing rituals can also be considered religious sounds. During the worship services, this mixture of various sounds leads to the gradual spiritual and emotional unification of the community. The music and the rituals create feelings of intense sensory and emotional character that reflect in bodily expressions. Movements, dance, and the positions of the hands can help glorify God and experience the worship service more intensely. However, under certain circumstances, they might become sources of temptation and sin. This is related to the concepts of “purity” and “impurity”. The premises, whether sacral or profane, interior or exterior ones, also play a significant role in creating the sound. In writing this paper, I have also drawn on my own research on Romani Christian songs, which I carried out in (2012–2013 in Eastern Slovakia).

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

ABSTRACT 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.

Research progress on emotion recognition by combining virtual reality environment and electroencephalogram signals

Emotion recognition refers to the process of determining and identifying an individual's current emotional state by analyzing various signals such as voice, facial expressions, and physiological indicators etc. Using electroencephalogram (EEG) signals and virtual reality (VR) technology for emotion recognition research helps to better understand human emotional changes, enabling applications in areas such as psychological therapy, education, and training to enhance people's quality of life. However, there is a lack of comprehensive review literature summarizing the combined researches of EEG signals and VR environments for emotion recognition. Therefore, this paper summarizes and synthesizes relevant research from the past five years. Firstly, it introduces the relevant theories of VR and EEG signal emotion recognition. Secondly, it focuses on the analysis of emotion induction, feature extraction, and classification methods in emotion recognition using EEG signals within VR environments. The article concludes by summarizing the research's application directions and providing an outlook on future development trends, aiming to serve as a reference for researchers in related fields.

Exploring the Role of Resilience as a Mediator in Selective Preventive Transdiagnostic Intervention (PROCARE+) for Adolescents at Risk of Emotional Disorders

Abstract: Introduction: Psychological treatments are becoming an increasingly important component of medical healthcare, as a growing number of people seek treatment for a wide range of mental health problems. While these treatments are known to be effective, much remains to be understood about their mechanisms and reasons for effectiveness. The study of statistical mediators is crucial in psychological research, as it is fundamental to understanding how psychological factors influence health, well-being, and human behavior, and thus to designing effective psychological interventions. Aim: This study investigates the role of resilience as a treatment mediator in PROCARE+, a brief transdiagnostic, personalized protocol for the selective prevention of emotional disorders in adolescents. This approach has proven effective for young people at risk of developing emotional issues. Method: We used simple mediation models in a sample of 153 adolescents to assess the impact of interventions on resilience. Outcome variables included self-reported and parent-reported emotional risk, mood, anxiety symptoms, and quality of life. Discussion: The results of this study provide valuable information on how PROCARE+ works and how to improve its effectiveness, pointing to resilience as a key mediator in reducing the risk of developing emotional disorders and improving quality of life.

Aspect-Level Sentiment Analysis of Customer Reviews Based on Neural Multi-task Learning

In the era of big data, major e-commerce platforms are facing the challenge of an exponential growth in the number of user comments. Effectively utilizing these comments has become an urgent issue. Traditional manual statistical methods are no longer able to meet the demands for accuracy and real-time analysis. The rise of artificial intelligence-based text mining techniques provides a new approach to address this problem. By building deep learning analysis models, it is possible to uncover user preferences and product characteristics, helping businesses proactively adjust sales strategies, improve product and service quality, and achieve precise marketing. Text sentiment analysis is one of the important research directions in the field of text mining. Its basic idea is to transform subjective texts with emotional color into structured data, and then use machine learning, deep learning, and other artificial intelligence technologies to extract emotional features and discover knowledge patterns. This article proposes a deep learning-based sentiment analysis model, which includes a shared sentiment prediction layer used to transfer emotional knowledge between different aspect categories and alleviate the problem of insufficient data. The model consists of two parts: the Aspect Category Detection (ACD) classifier based on attention mechanism and the Aspect Category Sentiment Analysis (ACSA) classifier. The ACD part generates word weights using attention mechanism, while the ACSA part predicts the sentiment of words and combines weights to determine the sentiment of aspect categories within sentences.