Development of Bayes and Neural Network Systems for Text Classification and Comparative Analysis for Them

Student: Chernikov Dmitriy

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Applied Mathematics (Bachelor)

Year of Graduation: 2020

This work shows the development of neural network system for classification texts with different length for revealing unwanted content. Neural network approach is proposed as a method for text presentation as numerical vectors with fixed dimension. Two mathematical classification models are developed and implemented as a software product based on neural network classifier and naïve Bayes classifier. The effective parameters of the models are selected experimentally. An analysis of the results is given.

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