DocumentCode
2054634
Title
Mining and computing phrase weight in texts
Author
Sarasvady, S. ; Vijayakumar, P. ; Jocabs, Daisy
Author_Institution
Amrita Vishwa Vidyapeetham Univ. Ettimadai, Coimbatore, India
fYear
2013
fDate
29-31 Aug. 2013
Firstpage
371
Lastpage
374
Abstract
Phrase identification using frequencies is employed in text mining studies. In this work, we propose that all phrases occur in a document are not equal as the semantic relevance between the phrases and text varies. We proposed to identify the relevance of phrases in natural language texts using phrase weights. The pilot study results are worth to investigate further.
Keywords
data mining; natural language processing; text analysis; natural language texts; phrase identification; phrase weight mining; semantic relevance; text mining; Educational institutions; Frequency measurement; Indexes; Length measurement; Natural languages; Semantics; Size measurement; Phrase analysis; Phrase weights; Text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Technology (INTECH), 2013 Third International Conference on
Conference_Location
London
Print_ISBN
978-1-4799-0047-3
Type
conf
DOI
10.1109/INTECH.2013.6653680
Filename
6653680
Link To Document