The scientific and practical problem of automatic detection of meaningful keywords and Ukrainian content categorization in Internet systems on the basis of linguistic analysis of text information is unleashed. The article presents a theoretical and experimental substantiation of linguistic analysis methods for Ukrainian content using Porter stemming.
This article presents the comparative experimental research of methods of relevant keywords finding in Ukrainian-language content. Based approach to automatic determination keywords Porter stemming for Ukrainian language words by distance Lowenstein, take into account the possibility of using a thematic dictionary and removal of blocked words is incorporated. On an experimental basis with 100 scientific publications of technical direction compared to the author’s version received numerous statistical characteristics of precision results.