This article describes image based personality type prediction. With the help of the Instagram API, photos of respondents who previously passed the MBTI test were collected. As a result, 60 percent of accuracy was achieved. This work represents one of the solutions to determine what personality type a person belongs to without passing any tests, but simply uploading an image.

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Kazakh is an agglutinative language which has complex structure. In this work Apache Spark was used to specify the popularity of Kazakh words in 3 popular kazakh compositions. The main goal was to find the optimal number of data segments for a specific number of cores in order to find the best computational speed. To do so, the data was divided into several segments and ran on a cluster with a different number of cores each time. Results show that the amount of data segments directly affects the computing speed.