Social Network User's Speech Modeling

Student: Piskunova Anastasiia

Educational Programme: Fundamental and Computational Linguistics (Bachelor)

Year of Graduation: 2018

In this paper, we center on social aspects of average VKontakte social network user’s word usage. Vkontakte is the largest and most widely used social network in Russia. In particular, it is substantial to identify if there is a correlation between word usage and the following sociolinguistic parameters: age, gender and city of residence. The next point of our research is to draw up an approximate list of the most used tokens among city- or gender-oriented groups. To fulfill these two points we collected considerable corpus of texts from the social network and analyze it with applicable statistical methods. The corpus was gathered using API (which stands for Application Programming Interface) for VKontakte and consisted contains 650000 lemmas. The analysis of the obtained data will be carried out with the help of scikit-learn and pandas (free software libraries for Python programming language).

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