• MARNI SAI NAVEEN CHOWDARY
• Kunal
• CHAVVA MNVS AKSHIT
• ROHIT VARMA
• T SRINIVAS RAO

Twitter is a micro-blogging platform where short messages or ‘tweets’ are made and sent out as updates to everyone in their online network, helping people keep in touch and connect with other . With such global appeal twitter has become a site for several spam and these Inauthentic accounts and malicious automation disrupt everyone's experience on Twitter .To overcome this problem, in recent years, many Literature review analysis reveals that most of the existing methods rely on Machine Learning-based algorithms. Among these Machine Learning algorithms, the major differences are related to various feature selection methods . The focus here has been made on the concept of Deep Learning and train model using Deep architecture along with other methods of deep learning to detect spam tweets in Twitter .

"Spam Detection in Twitter using Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.b162-b166, April-2022, Available :http://www.jetir.org/papers/JETIR2204121.pdf

"Spam Detection in Twitter using Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppb162-b166, April-2022, Available at : http://www.jetir.org/papers/JETIR2204121.pdf