  In this paper, we present a software package for the data mining of Twitter
microblogs for the purpose of using them for the stock market analysis. The
package is written in R langauge using apropriate R packages. The model of
tweets has been considered. We have also compared stock market charts with
frequent sets of keywords in Twitter microblogs messages.

Information Retrieval;Computation and Language;Social and Information Networks