DocumentCode :
2295635
Title :
Graph-Based Algorithms for Text Summarization
Author :
Thakkar, Khushboo S. ; Dharaskar, R.V. ; Chandak, M.B.
Author_Institution :
Dept. of Comput. Sci. & Eng., G.H. Raisoni Coll. of Eng., Nagpur, India
fYear :
2010
fDate :
19-21 Nov. 2010
Firstpage :
516
Lastpage :
519
Abstract :
Summarization is a brief and accurate representation of input text such that the output covers the most important concepts of the source in a condensed manner. Text Summarization is an emerging technique for understanding the main purpose of any kind of documents. To visualize a large text document within a short duration and small visible area like PDA screen, summarization provides a greater flexibility and convenience. This paper presents innovative unsupervised methods for automatic sentence extraction using graph-based ranking algorithms and shortest path algorithm.
Keywords :
graph theory; text analysis; automatic sentence extraction; graph-based ranking algorithm; shortest path algorithm; text summarization; HITS; PageRank; Text Summarization; ranking algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on
Conference_Location :
Goa
ISSN :
2157-0477
Print_ISBN :
978-1-4244-8481-2
Electronic_ISBN :
2157-0477
Type :
conf
DOI :
10.1109/ICETET.2010.104
Filename :
5698380
Link To Document :
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