"Galaktika-Zoom" is a text mining solution working with unstructured
information. The system includes tools for text search and analisys based on
linguistic, mathematical and statistical methods.
This work suggests the technology of the news bulletin building, based on
the automatic analysis of the news reports. This technology includes methods
of the automatic picking out, ranking and abstracting of the news reports.
Splitting of the text messages into the fragments permits to improve the
quality of the cluster analysis and abstracting.
RCO team is focused on research in area of computer linguistics and
development of text analysis solutions for full-text databases,
data-warehouses and BI systems. In the workshop we are planning to drive
several experiments on text categorization and news clustering tasks.
SPECS
Research project aimed for creating and evaluating recurrent
thematic Web search system.
KM.ru at RIRES-2007 aims to evaluate the effectiveness of a new web search
engine realizing the functions of a classical information retrieval system. The
fundamentals of the system are approved traditional algorithms combined with proper
innovations.
