Neural network technologies for analysis of opinion tonality for realization of human-oriented concept of urban environment transformation

Dmitrii Yu. Voronin, Pavel N. Kuznetsov, Vladislav P. Evstigneev, Rajisa N. Litvinova, Sergei A. Mityagin

Abstract


The basis of the smart sustainable city’s concept lies in application of the end-to-end digital technologies to improve organization of urban processes and innovative services. However, nowadays, there is an acute need in transition from a technology-oriented to a human-oriented paradigm of “sustainable smart cities” taking into account personal demands of citizens and various social groups rather than just implementing modern technical innovations. The present study deals with application of artificial neural network to informational support of effective decisions within implementation of the human-oriented concept of transformation of the urban environment. An example of such an informational support for the concept to be realized using a recursive neural network with long short-term memory is provided. Highly accurate (over 95%) automated analysis of tonality of citizens’ opinions on implementation of innovations into the urban environment has been performed using social media data.


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References


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