Abstract

The presented article is focused on the comprehensive study of the issues connected with text processing on social media. First and foremost, the standpoint of the so-called ordinary language philosophy is examined. It holds the view of the meaningfulness of words in sentences as being primarily determined by the ways in which they were put to use in the practical activity and the role they played in a broader context of the lifestyle. The contemporary lifestyle is inherent in social media with its virtual discourse which is determined not only by the words used but also by the relationships between the actors that generate the content. Second, the linguistic aspects of this issue are discussed. The modeling covering the structure of social media as well as users' texts are examined with regard to computational approaches to the broadening of the context concept in Frege's contextual principle. The examples of successful mining of such model both for traditional linguistic tasks and for the use in information filtering are provided. However, it is necessary to know how to broaden and narrow down the context. This aspect is examined by the example of clustering of the largest European social network VK

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