Text analysis based on time series

The paper presents a text mining application for searching and computing the correlations between the rhythmicities of terms with high frequency appearance, using the time series model. Some theoretical basics of the model are presented, including details about preprocessing the observed texts using natural language processing techniques, followed by implementation details and graphical results.