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Mental Health Disturbance has many reasons and cyberbullying is one of themajor causes that does exploitation using social media as an instrument. Thecyberbullying is done on the basis of Religion, Ethnicity, Age and Gender whichis a sensitive psychological issue. This can be addressed using NaturalLanguage Processing with Deep Learning, since social media is the medium and itgenerates massive form of data in textual form. Such data can be leveraged tofind the semantics and derive what type of cyberbullying is done and who arethe people involved for early measures. Since deriving semantics is essentialwe proposed a Hybrid Deep Learning Model named 1-DimensionalCNN-Bidirectional-LSTMs with Residuals shortly known as Res-CNN-BiLSTM. In thispaper we have proposed the architecture and compared its performance withdifferent approaches of Embedding Deep Learning Algorithms.

Res-CNN-BiLSTM Network for overcoming Mental Health Disturbances caused due to Cyberbullying through Social Media