The fact that FEB-web also provides a full record of Yesenin’s poems creates ample opportunity to combine the data gathered from the letters with the data from his work, which consists of 30 141 word tokens divided by the year of publication into 16 data-sets.The reason why text analysis of poetry might provide a different way of looking at Yesenin’s poetry is described by Samuel Taylor Coleridge: ‘Prose: words in their best order; poetry: the best words in the best order.’ Due to the fact that in poetry every word matters, it might be interesting to look at the extent to which the data in the correspondence influence the poet’s word choice. In order to study Yesenin’s work, the paper uses a freeware corpus analysis toolkit for concordance and text analysis called AntConc. Created by Dr. Laurence Anthony, professor in the Faculty of Science and Engineering at Waseda University in Japan, this program uses multiple text-analysis tools. For example, ‘Concordance’ allows the search for a certain term or a phrase in order to see the pattern in which the searched term appears and ‘concordance plot’ shows the dispersion of the searched term in the 16 data-sets. ‘AntConc’ also provides a ‘Word list’ tool, which searches through the data and lists the most frequently used terms.