• K S N Raju
• N S N V R S Saketh
• N N V D Sandeep
• M Venkata Sai Teja
• K Lokesh Varma

Nowadays cyber-bullying became more Complicated in social media that can abuse the users personally. This can be appearing in various types such as text, video or audio. Detecting these personal abusing messages create the complicated situation for the user. This also comes under the harassment of the users. Detecting these types of cyber-bullying messages becomes more complicated for the traditional algorithms. In this paper, An Ensemble Algorithm is used to detect these cyber bullying messages. The proposed algorithm is combination of Bidirectional-LSTM model with Convolutional Neural Network (CNN). The performance is calculated by using Accuracy, precision, and recall.

Cyber bullying , Bi-lstm , cnn , speech recognition

"Detection of Cyber Bullying in Text, Images, Audio", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.f621-f625, April-2023, Available :http://www.jetir.org/papers/JETIR2304580.pdf

"Detection of Cyber Bullying in Text, Images, Audio", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppf621-f625, April-2023, Available at : http://www.jetir.org/papers/JETIR2304580.pdf