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Use of Methods of Image Classification for Social Network Content Analysis

Student: Aleksandra Cherepanova

Supervisor: Liudmila Zhukova

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

Educational Programme: Applied Mathematics (Bachelor)

Final Grade: 9

Year of Graduation: 2019

The purpose of this work is to classify the images presented in the social network accounts in order to compose the user's emotional evaluation. To accomplish the goal, the following tasks are considered: collecting images, identifying the necessary characteristics for image typing, choosing the most appropriate methods for classifying, analyzing the resulting data and using it for emotional evaluation of an account in a social network. The result of the work is an algorithm that groups images by some characteristics, built using the Python programming language.

Full text (added May 26, 2019)

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