DocumentCode
657581
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
fYear
2013
fDate
11-13 Oct. 2013
Firstpage
37
Lastpage
41
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;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, Control and Computing (ICSTCC), 2013 17th International Conference
Conference_Location
Sinaia
Print_ISBN
978-1-4799-2227-7
Type
conf
DOI
10.1109/ICSTCC.2013.6688932
Filename
6688932
Link To Document