Classification of Sequential Data in Deep Learning Using LSTM Network

Abstract

In the empire of natural language processing the study of sentiment analysis has important significance. 
Sentiment analysis is a very challenging task with great requirements in every field. Understanding public 
opinion from a web social network is a rapid growth development technology to identify the sentiment analysis 
from comments obtained from social media, to obtain specific opinions from the same. The cumulative growth 
of social media provided big data in front of text that can immeasurably augment its specialty. Deep learning 
is part of the broader family of machine learning methods based on artificial neural networks with 
representation learning. Deep learning is famous because of its applicability and performance hence it can 
be called state of the art and should be an automated process. So in this paper, we discussed the attention 
mechanism of LSTM with neural networks has achieved good results in semantic association and 
classification.