Application of neural networks to the analysis of consumer opinions


Abstract

This paper presents an analysis of the possibilities of using neural networks to classify text data in the form of comments. Moreover, results of research of two neural network optimization methods: Adam and Gradient are presented. The aim of the work is to conduct research on the behavior of the neural network depending on the change of parameters and the amount of data used to teach the neural network. To achieve the goal, a test application was created. It uses a neural network to display the overall assessment of the accommodation facility based on the added user feedback.


Keywords

neural network; TensorFlow; artificial intelligence

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Published : 2019-12-30


Mysan, R., Loichuk, I., & Plechawska-Wójcik, M. (2019). Application of neural networks to the analysis of consumer opinions . Journal of Computer Sciences Institute, 13, 310-314. https://doi.org/10.35784/jcsi.1325

Roman Mysan  roman.mysan@pollub.edu.pl
Lublin University of Technology  Ukraine
Ivan Loichuk 
Lublin University of Technology  Ukraine
Małgorzata Plechawska-Wójcik 
Lublin University of Technology  Poland