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Graph-Based Algorithms for Text Summarization
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...
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creator | Thakkar, K S Dharaskar, R V Chandak, M B |
description | 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. |
doi_str_mv | 10.1109/ICETET.2010.104 |
format | conference_proceeding |
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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. 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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.</description><subject>Algorithm design and analysis</subject><subject>Convergence</subject><subject>Damping</subject><subject>Educational institutions</subject><subject>Google</subject><subject>HITS</subject><subject>PageRank</subject><subject>ranking algorithm</subject><subject>Silicon</subject><subject>Text Summarization</subject><issn>2157-0477</issn><issn>2157-0485</issn><isbn>9781424484812</isbn><isbn>1424484812</isbn><isbn>0769542468</isbn><isbn>9780769542461</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9jktLw0AURscXWGvWLtzkD0y9d953WUOshYILsy_TZMYONKYkEdRfb4ri6oPzweEwdoewQAR6WBdlVVYLAScA6ozdgDWklVDGnbOZQG05KKcvWEbW4cSVUw7F5f9n7TXLhiHtQBhrjJQ0Y3zV--OeP_ohNPny8Nb1ady3Qx67Pq_C55i_frSt79O3H1P3fsuuoj8MIfvbOaueyqp45puX1bpYbngiGLlAjKQbgbWLTjvpdsHXOpBGowNQY5WXCDEKoTGQjKRqB77GRoDzRFrO2f2vNoUQtsc-TQVfW21ocoH8Ad6ORi4</recordid><startdate>201011</startdate><enddate>201011</enddate><creator>Thakkar, K S</creator><creator>Dharaskar, R V</creator><creator>Chandak, M B</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201011</creationdate><title>Graph-Based Algorithms for Text Summarization</title><author>Thakkar, K S ; Dharaskar, R V ; Chandak, M B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-211f95d21c8f85838beac5e95165e09d74a310ff2251e93f94c80ac1d208a9953</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Algorithm design and analysis</topic><topic>Convergence</topic><topic>Damping</topic><topic>Educational institutions</topic><topic>Google</topic><topic>HITS</topic><topic>PageRank</topic><topic>ranking algorithm</topic><topic>Silicon</topic><topic>Text Summarization</topic><toplevel>online_resources</toplevel><creatorcontrib>Thakkar, K S</creatorcontrib><creatorcontrib>Dharaskar, R V</creatorcontrib><creatorcontrib>Chandak, M B</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Thakkar, K S</au><au>Dharaskar, R V</au><au>Chandak, M B</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Graph-Based Algorithms for Text Summarization</atitle><btitle>2010 3rd International Conference on Emerging Trends in Engineering and Technology</btitle><stitle>icetet</stitle><date>2010-11</date><risdate>2010</risdate><spage>516</spage><epage>519</epage><pages>516-519</pages><issn>2157-0477</issn><eissn>2157-0485</eissn><isbn>9781424484812</isbn><isbn>1424484812</isbn><eisbn>0769542468</eisbn><eisbn>9780769542461</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ICETET.2010.104</doi><tpages>4</tpages></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Algorithm design and analysis Convergence Damping Educational institutions HITS PageRank ranking algorithm Silicon Text Summarization |
title | Graph-Based Algorithms for Text Summarization |
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