Publication at Faculty of Mathematics and Physics |
2010
Abstract
We deal here with the problem of web search. We are motivated by the problem of automated extraction of information from the web, which are relevant and-or indicate future economical crisis.
We use data created before official announcement of current crisis and try to estimate the complexity of the problem. In cooperation with an economic expert we illustrate the usage of linguistic text analysis and further economic interpretation.
The problem is also connected to characterization of the author of web data and user preferences. We conclude with listing aspects of this difficult problem and future work.