Statistical Analysis of Language Factors Conditioning the Popularity of a Text

The importance of understanding the factors conditioning the popularity of a text has always been high. It can be explained by vast number of spheres where text popularity plays a key role. For instance, it is the main aim for writers and poets to create popular texts in order to receive recognition from their audience and to increase their incomes. Moreover, it is of high importance for publishing houses to be able to anticipate text popularity and to mitigate the risks of unprofitable investments. Furthermore, marketing agencies and managers derive financial gain from the ability to recognize potentially popular texts. Such texts can be used as one of the most effective ways of advertisement and promotion of products. In this research the statistical analysis of language factors conditioning the popularity of a text will be carried out with help of machine learning models.