• Abhishek Patel
• Shabnam

Long Short-Term Memory (LSTM) network is widely applied in research areas having complex solution having sequential data as text, video format. LSTM handles the long-term dependencies problems in its cell structure (sigma or logic cell). These paper consist review of different RNN-LSTM long-term dependencies applicable areas along with applied problems and its effective model of implementation which has implemented and its future scope. In addition, it is seen as RNN-LSTM network performs well than other machine, deep learning algorithm while predicting the results.

Long Short-Term Memory,Recurrent Neural Network,Deep Learning, Natural Language Processing.

"A REVIEW ON LONG TERM SHORT MEMORY(LSTM)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.543-551, November 2018, Available :http://www.jetir.org/papers/JETIRDR06083.pdf

"A REVIEW ON LONG TERM SHORT MEMORY(LSTM)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp543-551, November 2018, Available at : http://www.jetir.org/papers/JETIRDR06083.pdf