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By Mikhail Yu. Khachay, Natalia Konstantinova, Alexander Panchenko, Dmitry Ignatov, Valeri G. Labunets

This e-book constitutes the lawsuits of the Fourth overseas convention on research of pictures, Social Networks and Texts, AIST 2015, held in Yekaterinburg, Russia, in April 2015.

The 24 complete and eight brief papers have been rigorously reviewed and chosen from one hundred forty submissions. The papers are geared up in topical sections on research of pictures and video clips; trend attractiveness and desktop studying; social community research; textual content mining and typical language processing.

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Extra resources for Analysis of Images, Social Networks and Texts: 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers

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Group Stud. 2, 107–124 (1971) 8. : AUC: a statistically consistent and more discriminating measure than accuracy. In: Proceedings of the International Joint Conference on Artificial Intelligence 2003, pp. 519–526 (2003) 9. : Suicide ideation of individuals in online social networks. PLoS ONE 8(4), e62262 (2013). 1371%2Fjournal. 0062262 10. : Analysis of twitter users’ mood for prediction of gold and silver prices in the stock market. E. ) AIST 2014. CCIS, vol. 436, pp. 190–197. Springer, Heidelberg (2014) 11.

RSKT 2013. LNCS, vol. 8171, pp. 16–27. Springer, Heidelberg (2013) 22. : Information Theory and Statistics. Dover Publications, New York (1997) 23. AT&T database of faces. html 24. Yale face database. edu/content/yale-face-database 25. Japanese Female Facial Expression (JAFFE) database. html 26. : Learning multi-scale block local binary patterns for face recognition. Z. ) ICB 2007. LNCS, vol. 4642, pp. 828–837. Springer, Heidelberg (2007) 27. OpenCV library. org/ 28. : Comparative testing of face detection algorithms.

Characterizing and predicting postpartum depression from shared facebook data. In: Computer Supported Cooperative Work, CSCW 2014, Baltimore, MD, USA, 15–19 February, pp. 626– 638 (2014). 2531675 5. : Predicting depression via social media. In: Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, 8–11 July 2013. php/ICWSM/ICWSM13/paper/view/6124 6. : Gaining insight in social networks with biclustering and triclustering. , Kozyrev, O.

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