Extracting topically related keywords from related documents
Keyword extraction technique embodiments are presented which extract topically related keywords from a set of topically related documents. In one general embodiment, this keyword extraction involves first accessing a set of topically related documents. A number of candidate keywords are then identif...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Patent |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | UDUPA UPPINAKUDURU RAGHAVENDRA VYSYARAJU SANTOSH RAJU |
| description | Keyword extraction technique embodiments are presented which extract topically related keywords from a set of topically related documents. In one general embodiment, this keyword extraction involves first accessing a set of topically related documents. A number of candidate keywords are then identified from the set of related documents. A weighted keyword candidate-document matrix is formed using these candidate keywords, and it is partitioned into multiple groups of keyword candidates. Dense clusters of keyword candidates whose density exceeds a prescribed density threshold are then identified in each of the groups of keyword candidates. Finally, the keyword candidates associated with each dense cluster are designated as topically related keywords. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US8463786B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US8463786B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US8463786B23</originalsourceid><addsrcrecordid>eNrjZLBxrSgpSkwuycxLVyjJL8hMTszJqVQoSs1JLElNUchOrSzPL0opVkgrys-Fi6bkJ5fmpuaVFPMwsKYl5hSn8kJpbgYFN9cQZw_d1IL8-NTigsTk1LzUkvjQYAsTM2NzCzMnI2MilAAA7R0wcw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Extracting topically related keywords from related documents</title><source>esp@cenet</source><creator>UDUPA UPPINAKUDURU RAGHAVENDRA ; VYSYARAJU SANTOSH RAJU</creator><creatorcontrib>UDUPA UPPINAKUDURU RAGHAVENDRA ; VYSYARAJU SANTOSH RAJU</creatorcontrib><description>Keyword extraction technique embodiments are presented which extract topically related keywords from a set of topically related documents. In one general embodiment, this keyword extraction involves first accessing a set of topically related documents. A number of candidate keywords are then identified from the set of related documents. A weighted keyword candidate-document matrix is formed using these candidate keywords, and it is partitioned into multiple groups of keyword candidates. Dense clusters of keyword candidates whose density exceeds a prescribed density threshold are then identified in each of the groups of keyword candidates. Finally, the keyword candidates associated with each dense cluster are designated as topically related keywords.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2013</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20130611&DB=EPODOC&CC=US&NR=8463786B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25562,76317</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20130611&DB=EPODOC&CC=US&NR=8463786B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>UDUPA UPPINAKUDURU RAGHAVENDRA</creatorcontrib><creatorcontrib>VYSYARAJU SANTOSH RAJU</creatorcontrib><title>Extracting topically related keywords from related documents</title><description>Keyword extraction technique embodiments are presented which extract topically related keywords from a set of topically related documents. In one general embodiment, this keyword extraction involves first accessing a set of topically related documents. A number of candidate keywords are then identified from the set of related documents. A weighted keyword candidate-document matrix is formed using these candidate keywords, and it is partitioned into multiple groups of keyword candidates. Dense clusters of keyword candidates whose density exceeds a prescribed density threshold are then identified in each of the groups of keyword candidates. Finally, the keyword candidates associated with each dense cluster are designated as topically related keywords.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2013</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLBxrSgpSkwuycxLVyjJL8hMTszJqVQoSs1JLElNUchOrSzPL0opVkgrys-Fi6bkJ5fmpuaVFPMwsKYl5hSn8kJpbgYFN9cQZw_d1IL8-NTigsTk1LzUkvjQYAsTM2NzCzMnI2MilAAA7R0wcw</recordid><startdate>20130611</startdate><enddate>20130611</enddate><creator>UDUPA UPPINAKUDURU RAGHAVENDRA</creator><creator>VYSYARAJU SANTOSH RAJU</creator><scope>EVB</scope></search><sort><creationdate>20130611</creationdate><title>Extracting topically related keywords from related documents</title><author>UDUPA UPPINAKUDURU RAGHAVENDRA ; VYSYARAJU SANTOSH RAJU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US8463786B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2013</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>UDUPA UPPINAKUDURU RAGHAVENDRA</creatorcontrib><creatorcontrib>VYSYARAJU SANTOSH RAJU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>UDUPA UPPINAKUDURU RAGHAVENDRA</au><au>VYSYARAJU SANTOSH RAJU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Extracting topically related keywords from related documents</title><date>2013-06-11</date><risdate>2013</risdate><abstract>Keyword extraction technique embodiments are presented which extract topically related keywords from a set of topically related documents. In one general embodiment, this keyword extraction involves first accessing a set of topically related documents. A number of candidate keywords are then identified from the set of related documents. A weighted keyword candidate-document matrix is formed using these candidate keywords, and it is partitioned into multiple groups of keyword candidates. Dense clusters of keyword candidates whose density exceeds a prescribed density threshold are then identified in each of the groups of keyword candidates. Finally, the keyword candidates associated with each dense cluster are designated as topically related keywords.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US8463786B2 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Extracting topically related keywords from related documents |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T12%3A23%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=UDUPA%20UPPINAKUDURU%20RAGHAVENDRA&rft.date=2013-06-11&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS8463786B2%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |