Titlebook: Digital Transformation and Global Society; Second International Daniel A. Alexandrov,Alexander V. Boukhanovsky,Ole Conference proceedings 2

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Paleontology

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bile648

Springer Series in Materials Scienceom forest in our approach. To implement and validate our methodology, we have mined opinions on content in various forms, namely videos, tweets and posts on three popular social media platforms namely Youtube, Twitter and Facebook, respectively. In our validation, we have taken the Kashmir conflict

aneurysm

Semiconductor Device Physics and Simulation from a carefully selected sub-sample of 36,000 users we conclude that regional level explains an extremely small share of variance in the overall variation of behavioral user data. A notable exception is attention to the topics of Islam and Ukraine. However, our data reveal that historically geogra

famine

GLUE

sterilization

fiction

Detecting Interethnic Relations with the Data from Social Media automatic monitoring of ethnicity related online content. In this study we seek to measure the overall volume of ethnicity related discussion in the Russian language social media and to develop an approach that would automatically detect various aspects of attitudes to those ethnic groups. We devel

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