REVIEW ANALYSIS USING SPARSE VECTOR AND DEEP NEURAL NETWORK
Journal Title: International Journal of Computer Science and Engineering - Year 2019, Vol 8, Issue 3
Abstract
In the modern world of social networks, sentiment analysis has become one of the most important research topics in the field of deep learning. The Sentiment Analysis is the name of the problem that with a sentence or text the machine gets capable to analyze and predict with the maximum precision possible. The sentiment that will be obtained by a person when reads it or the contextual opinion related to something. In this project, we are implementing deep neutral network and sparse vector algorithm to implement sentiment analysis. The above algorithm can perform high data analysis and gives enhanced accuracy of sentiments implemented. The approach can reduce the training time of the neural network model through a regional embedding.
Authors and Affiliations
Thiyagu T. , Sneh Upadhyay, Rajat Chaudhary
Keywords
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