System For Semantic Text Filtration.

The system will empower the users to optimize the search and work in original language with the texts in the net. It allows setting the most relevant topics for the user and to which the priority in retrieval and skimming the texts will be given then. Using the developed algorithms of semantic filtration and indexing, the program analyzes available text files and defines how close they are to the set-point topics. Depending on the outcomes of the texts associative-semantic analysis supported by semantic and ontological basis WordNet, the system rearranges documents according to their relevance for user.