DocumentCode :
3475016
Title :
Single document text summarization by Knowledge-Corpus
Author :
Dasari, Durga Bhavani ; Venu Gopala Rao, K.
Author_Institution :
Sri Indu Coll. of Eng. & Technol., Hyderabad, India
fYear :
2013
fDate :
20-22 Dec. 2013
Firstpage :
134
Lastpage :
138
Abstract :
The fast generation of large quantity of data, the main problem is the usage of valuable data, especially effectual restoration of terse and appropriate data id greatly preferred. On this subject, the importance of the characteristics that is chosen to review this document is initiated based on the Knowledge-Corpus. The Projected manuscript description method is reliant on a certain original calculating metrics known as Sentence coverage weight (scw), corpus coverage weight (ccw) and term coverage weight (tcw). Based on the investigational outcome analyzed by the ROUGE describes that the scw, ccw and tcw gives improved performance when compared to the usually seen term frequency based description.
Keywords :
data mining; text analysis; ROUGE; corpus coverage weight; effectual restoration; knowledge-corpus; projected manuscript description method; sentence coverage weight; single document text summarization; term coverage weight; Abstracts; Conferences; Frequency measurement; Fuzzy logic; Technological innovation; Weight measurement; corpus coverage; data mining; sentence coverage; text mining; text summarization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MOOC Innovation and Technology in Education (MITE), 2013 IEEE International Conference in
Conference_Location :
Jaipur
Print_ISBN :
978-1-4799-1625-2
Type :
conf
DOI :
10.1109/MITE.2013.6756321
Filename :
6756321
Link To Document :
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