NEW MODERN APPROACH TO PREDICT USERS SENTIMENT USING CNN AND BLSTM

In Today’s world social network play a vital role and provides relevant information on user opinion. This paper presents emotional health monitoring system to detect stress and the user mood. Depending on results the system will send happy, calm, relaxing or motivational messages to users with phycological disturbance. It also sends warning messages to authorized persons in case a depression disturbance is detected by monitoring system. This detection of sentence is performed through convolution neural network (CNN) and bi-directional long-term memory (BLSTM). This method reaches accuracy of 0.80 to detect depressed and stress users and also system consumes low memory, process and energy. We can do the future work of this project by also including the sarcastic sentences in the dataset. We can also predict the sarcastic data with the proposed algorith

EXPLORANDO O PAPEL DA UNIVERSIDADE PRÍNCIPE SATTAM BIN ABDULAZIZ NA ABORDAGEM DE CAUSAS E CONSEQUÊNCIAS DE FRUSTRAÇÃO ENTRE ESTUDANTES: UM ESTUDO DE CAMPO

Frustration among university students is a prevalent and often overwhelming emotion resulting from a variety of academic, personal, and social pressures, significantly impacting their overall college experience. This study aims to investigate the role of Prince Sattam bin Abdulaziz University in addressing the causes and consequences of students’ frustration. We employed a descriptive research methodology and surveyed 87 faculty members from the colleges of Wadi Al-Dawasir and Al-Sukayyia using an 18-item questionnaire. Data were analyzed using appropriate statistical methods. The results indicated that, from the perspective of faculty members, the role of Prince Sattam bin Abdul Aziz University in addressing the causes and consequences of student frustration was moderate. The dimensions of this role were ranked as follows: first, the university's role in raising students' awareness about the causes and consequences of frustration; second, the university's educational role; and third, the university's preventive role in alleviating student frustration. The study proposes a conceptual framework to activate the preventive, awareness-raising, and educational roles of Prince Sattam bin Abdulaziz University in addressing the issue of student frustration.A frustração entre os estudantes universitários é uma emoção predominante e muitas vezes avassaladora, resultante de uma variedade de pressões acadêmicas, pessoais e sociais, impactando significativamente a sua experiência universitária em geral. Este estudo tem como objetivo investigar o papel da Universidade Príncipe Sattam bin Abdulaziz na abordagem das causas e consequências da frustração dos estudantes. Empregamos uma metodologia de pesquisa descritiva e entrevistamos 87 professores das faculdades de Wadi Al-Dawasir e Al-Sukayyia usando um questionário de 18 itens. Os dados foram analisados utilizando métodos estatísticos apropriados. Os resultados indicaram que, do ponto de vista dos docentes, o papel da Universidade Príncipe Sattam bin Abdul Aziz na abordagem das causas e consequências da frustração dos estudantes foi moderado. As dimensões deste papel foram ordenadas da seguinte forma: primeiro, o papel da universidade na sensibilização dos estudantes sobre as causas e consequências da frustração; segundo, o papel educativo da universidade; e terceiro, o papel preventivo da universidade no alívio da frustração dos estudantes. O estudo propõe uma estrutura conceitual para ativar os papéis preventivos, de conscientização e educacionais da Universidade Príncipe Sattam bin Abdulaziz na abordagem da questão da frustração dos estudantes

Vortex of the Web. Potentials of the online environment

This volume compiles international contributions that explore the potential risks and chances coming along with the wide-scale migration of society into digital space. Suggesting a shift of paradigm from Spiral of Silence to Nexus of Noise, the opening chapter provides an overview on systematic approaches and mechanisms of manipulation – ranging from populist political players to Cambridge Analytica. After a discussion of the the juxtaposition effects of social media use on social environments, the efficient instrumentalization of Twitter by Turkish politicans in the course of the US-decision to recognize Jerusalem as Israel’s capital is being analyzed. Following a case study of Instagram, Black Lives Matter and racism is a research about the impact of online pornography on the academic performance of university students. Another chapter is pointing out the potential of online tools for the successful relaunch of shadow brands. The closing section of the book deals with the role of social media on the opinion formation about the Euromaidan movement during the Ukrainian revolution and offers a comparative study touching on Russian and Western depictions of political documentaries in the 2000s

Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework

Existing studies on using social media for deriving mental health status of users focus on the depression detection task. However, for case management and referral to psychiatrists, healthcare workers require practical and scalable depressive disorder screening and triage system. This study aims to design and evaluate a decision support system (DSS) to reliably determine the depressive triage level by capturing fine-grained depressive symptoms expressed in user tweets through the emulation of Patient Health Questionnaire-9 (PHQ-9) that is routinely used in clinical practice. The reliable detection of depressive symptoms from tweets is challenging because the 280-character limit on tweets incentivizes the use of creative artifacts in the utterances and figurative usage contributes to effective expression. We propose a novel BERT based robust multi-task learning framework to accurately identify the depressive symptoms using the auxiliary task of figurative usage detection. Specifically, our proposed novel task sharing mechanism, co-task aware attention, enables automatic selection of optimal information across the BERT layers and tasks by soft-sharing of parameters. Our results show that modeling figurative usage can demonstrably improve the model\u27s robustness and reliability for distinguishing the depression symptoms

Risky Behaviour: Psychological Mechanisms Underpinning Social Media Users’ Engagement

Social media has received considerable media attention due to concerns that its use may be linked to risky behaviours, e.g., sharing personal information (Tow, Dell, & Venable, 2010), sexual communication with strangers (Baumgartner, Valkenburg, & Peter, 2010b) and extreme communities that may encourage self-harm and eating disorders (Lewis, Heath, Sornberger, & Arbuthnott, 2012). This thesis identifies who is using social media, what factors influence usage and willingness to engage in online risk behaviour, whether there is a link between content viewed on social media and offline risk behaviour, and the role of extreme communities for users. A mixed method approach is applied to survey and social media data. The first part of the thesis identifies younger users and female users as those most intensively using social media (partially explained by stronger social norms and experiencing more positive outcomes). Attitudes towards risk takers, norms and past behaviour predict willingness to engage in online risk. There is also a link between the content that users view on social media and engaging in offline risk behaviour; this link was stronger for male users. However no age differences were found. The second half of this thesis focuses on online communication around eating disorders and self-harm. Although some content did encourage these behaviours, the majority of the content was of a positive nature and appeared to provide social support for users. These findings suggest that the media portrayal of social media may be misleading. Two important outcomes are highlighted; Firstly, younger users may not necessarily be more vulnerable and, second, that care is needed to ensure that interventions respect the positive side of social media use and limit risks without disrupting potentially positive social networks. Implications include the guiding of such interventions, future research and policy