Emotional sentiment analysis of social media content for mental health safety

Abstract

Text sentiment analysis is mostly used for the assessment of the author's mood depending on the context. The purpose of sentiment analysis (SA) is to discover the exactness of the underlying emotion in a given situation. It has been applied to various fields, including stock market predictions, social media data on product evaluations, psychology, the judiciary, forecasting, illness prediction, agriculture, and more. Many researchers have worked on these topics and generated important insights. These outcomes are useful in the field because they (outcomes) help people comprehend the general summary quickly, Additionally, SA aids in limiting the harmful effects of some posts on various social media sites such as Facebook and Twitter. For these reasons and more, we are proposing an approach to filter the social media content that could be emotionally harmful to the user, through getting the SM content(we will refer to social media as SM), for that we have used Twitter API to get the user posts (Twitter as an example of SM), then we have used API natural understanding language API tool to extract and classify the emotions of the Twitter content into five basic emotional categories: Joy, sadness, anger, fear, disgust. into an array of emotions, after that, we have defined a perfect emotion array from over 450 words from the English language. The main purpose of this comprehensive research article is to examine the proposed solution that we have conducted to improve the quality of content displayed to users emotionally.

La evolución prospectiva de las redes sociales desde la perspectiva de la neurofenomenología

“…Emotional impact: Communication in social networks often triggers affective responses. Neurophenomenology research can reveal how these responses arise in users and how platforms can utilize such information to enhance interaction and user engagement (Benrouba & Boudour, 2023).…”

“…Currently, there is a vast scope of scientific inquiry into the prospective advancement of social networks. In particular, social networks are perceived as an environment for the development of economic activity and business (Benrouba & Boudour, 2023), for the development of a multicultural space and cultural exchange (Wood, Kleinbaum & Wheatley, 2023), for the development of an educational environment and the formation of professional skills (Heidari, Salimi & Mehrvarz, 2023), etc. Nonetheless, there is a scarcity of scientific research delving into the impact of social networks on the maturation of consciousness, self-identification, psycho-emotional perception and associated biological indicators.…”

Gender-Based Analysis of User Reactions to Facebook Posts

“…Social reactions are a new vast area for research on uses' behavior [1,2] , where people have a paralinguistic opportunity to express emotions [3][4][5] . The initial objective is to interact with social media content, which has been transformed into a potential tool to convey attention and emotion.…”