Open AccessAn Exploratory Sentiment and Facial Expressions Analysis of Data from Photo-sharing on Social Media: The Case of Football Violence
Author(s) -
Vasiliy Boychuk,
Kirill Sukharev,
Daniil Voloshin,
Vladislav Karbovskii
Publication year - 2016
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2016.05.340
Subject(s) - computer science , football , anger , trace (psycholinguistics) , social media , key (lock) , exploratory analysis , facial expression , sentiment analysis , software , exploratory research , artificial intelligence , data science , computer security , world wide web , psychology , social psychology , linguistics , political science , law , philosophy , sociology , anthropology , programming language
In this article we propose the possibility to increase the level of security during football matches due to analysis of data that are placed on the social networks of these events visitors. We considered different ways to recognize emotions from photographs to trace the changes in the level of emotions in the photos depending on whether these pictures were taken during the game with fights in the stands or during normal games. We tested this assumption and our hypothesis has been partially confirmed. The software solution for emotion recognition from Microsoft Oxford showed that the level of emotional anger is noticeably higher in the photographs taken during the match with fights. In addition, other curious results were obtained, including an analysis of the key of the comments left by events visitors’ photos
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