Deep Neural Network and Text Processing: A Literature Review

Deep learning is a powerful representation training algorithm which has been used to understand context clues. This paper has provided review of past research on neural networks in their use of in text analysis. Neural networks were observed to use a number of computational layers to understand hierarchical representations of the data, resulting in cutting edge results in a range of domains. This article carried out an empirical assessment of vital deep learning related techniques and frameworks to investigate their use in varied NLP tasks, as well as contextualizing, making comparisons, and comparing the various models and gives a clear knowledge of the relevant facets of deep neural network use in NLP.