The paper examines various aspects of text analysis application for knowledge worker’s activity realization. Conclusions are drawn about the relevance and importance of processing the non-structured textual information in order to increase knowledge worker’s efficiency, as well as their awareness in different branches of science. The paper considers the existing algorithms of texts semantic analysis as the sphere of documents topical closeness recognition. At the same time, it contains an example of applying the complex methodology of semantic analysis, which includes LSA and LDA methods together with the Zipf’s Law with the objective to solve a typical knowledge worker’s task. Quantitative identifiers of the efficiency of this methodology are given.
Authors
- dr Nina Rizun link open in new tab ,
- magistr Mariia Rizun,
- Jurij Taranenko link open in new tab
Additional information
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2017
