Title :
Text analysis based on time series
Author :
Badea, Iulia ; Trausan-Matu, Stefan
Author_Institution :
Dept. of Comput. Sci., Univ. Politeh. of Bucharest, Bucharest, Romania
Abstract :
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.
Keywords :
data mining; information retrieval; natural language processing; text analysis; time series; correlation computation; correlation searching; graphical results; high frequency appearance; implementation details; natural language processing techniques; term rhythmicities; text analysis; text mining application; time series model; Correlation; HTML; Natural language processing; Text mining; Time series analysis; Time-frequency analysis; Corpus; Natural Language Processing; Text Mining; Time Series; rhythmicity detection;
Conference_Titel :
System Theory, Control and Computing (ICSTCC), 2013 17th International Conference
Conference_Location :
Sinaia
Print_ISBN :
978-1-4799-2227-7
DOI :
10.1109/ICSTCC.2013.6688932
