VISUALLY ENHANCED SOCIAL MEDIA ANALYSIS OF REFUGEES IN TURKEY

Abstract

The population of refugees in Turkey is significantly growing since 2014 and it has already exceeded three millions. This situation urges to study their conditions and issues as well as their opinions. In this study, we propose a method to analyze the dataset collected from social media accounts of refugees in Turkey in a textual and visual manner. Firstly, we acquire social media activities of refugees, and then we make textual analysis for which the results are presented using word clouds. Finally, for the most significant words obtained from the textual analysis, we perform a visual analysis to find out the most representative image or a group of images shared in social networks. The association between textual and visual results enhances their perceptibility and help decreasing the ambiguity of inferences over analysis results. We experimented with different scenarios and suggested several methods to enhance computational and qualitative results.

Keywords

• social media,visual analysis,image features,refugees,Turkey

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