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 :
بازگشت