Abstract
Depression is taken as a vital issue that is a leading cause of disability worldwide and is a major contributor to serious medical illness which may even lead to suicide. Depression causes feelings of sadness and loss of interest in activities you once enjoyed. This serious medical illness seriously affects the way you think, how you feel and act. Millions of people are suffering from depression, but only a few of them are undergoing proper and adequate treatment. So as most of us are very much connected to social media today, we decided to explore any such depression-related behavior in their posts that they do in it. Usually, this is caused by a person’s day-to-day life activities such as working, thinking, relationship issues, and studying. It is taken as a sober challenge in our everyday lives. Nowadays, people spend much time on social media forums, and detection of depression-related posts is important to avoid sharing bad posts among the people community spreading positivity. Determination of depression levels and person’s negative response is important because it tells us about the negativism and also usage of ML classifier techniques and automatic negative posts are also determined. This proposed system can help the kids in viewing only positive posts in the social media forums.
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Harini, M., Sivakumar, B. (2023). Prediction of Depression-Related Posts in Instagram Social Media Platform. In: Rao, B.N.K., Balasubramanian, R., Wang, SJ., Nayak, R. (eds) Intelligent Computing and Applications. Smart Innovation, Systems and Technologies, vol 315. Springer, Singapore. https://doi.org/10.1007/978-981-19-4162-7_1
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DOI: https://doi.org/10.1007/978-981-19-4162-7_1
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