. R. Lokeshkumar; . Om Ashish Mishra; . Shivam Kalra
Volume 11, Issue 7 , August 2021, , Pages 1-11
Abstract
BACKGROUND: Social media platforms such as Facebook, WhatsApp, and Instagram etc., arebecoming very popular now not only for youth but for all walks of life. People are more often seen ...
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BACKGROUND: Social media platforms such as Facebook, WhatsApp, and Instagram etc., arebecoming very popular now not only for youth but for all walks of life. People are more often seen inbusy in tweeting, chatting, or putting selfies. No one actually knows the mental state of a person inthe online platform. In this article, we will be focusing on how social media is affecting issues suchas road accident, murder, and suicide. The research is done by three parts.MATERIALS AND METHODS: Google Form analysis, machine learning used for prediction, and bysentimental analysis of what people think in twitter. All the datasets are based in India. From thesedatasets, the different machine learning algorithm is used to do the analysis. The project strives tobring the real‑world solution in the matter of advancement.RESULTS: The static data analysis and dynamic data analysis shows the various sentimental analysisand predictions and the technique to predict different mental states. Thus we get clearly about thecurrent world is getting into social issues. This research findings helps to bring social awarenessamong the current generation by understanding the sensitivity of the youths.CONCLUSION: Thus through this paper we get known clearly how the current world is gettinginto social issues like victim of murders or road accidents or committing suicide. The paper clearlyhelps us to understand the sensitivity of the youths. Therefore brings a social awareness amongthe current generation.
