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