IMPLEMENTATION OF UNSUPERVISED TOPIC SEGMENTATION IN A DATA COMMUNICATIONS ENVIRONMENT
A method is provided in one example embodiment and includes extracting sentences from data, which comprises a speech transcript; tokenizing the plurality of sentences to develop for each of the plurality of sentences a sentence vector and at least one feature vector; and performing topic segmentatio...
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creator | GADDE VENKATA RAMANA RAO DIAO QIAN |
description | A method is provided in one example embodiment and includes extracting sentences from data, which comprises a speech transcript; tokenizing the plurality of sentences to develop for each of the plurality of sentences a sentence vector and at least one feature vector; and performing topic segmentation on the speech transcript using the sentence vectors and feature vectors, the topic segmentation resulting in a listing of segments corresponding to the speech transcript. In certain embodiments, the feature vector may be at least one of a cue word feature vector, a speaker change feature vector, and a scene change feature vector. |
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fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2014214402A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2014214402A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2014214402A13</originalsourceid><addsrcrecordid>eNqNyk0KwjAQQOFsXIh6hwHXQhNzgZBOdcBMQvOzLaXElWih3h9RBLeuHjy-tSjkwgUdcjKJPIPvIHPMAftCEVtIPpCFiKcfIQYDrUkGrHcuM9nPj4BcqPf8lluxuo63pe6-3Yh9h8meD3V-DHWZx6ne63PIUTVSK6l1o4w8_qdeoV4yHg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>IMPLEMENTATION OF UNSUPERVISED TOPIC SEGMENTATION IN A DATA COMMUNICATIONS ENVIRONMENT</title><source>esp@cenet</source><creator>GADDE VENKATA RAMANA RAO ; DIAO QIAN</creator><creatorcontrib>GADDE VENKATA RAMANA RAO ; DIAO QIAN</creatorcontrib><description>A method is provided in one example embodiment and includes extracting sentences from data, which comprises a speech transcript; tokenizing the plurality of sentences to develop for each of the plurality of sentences a sentence vector and at least one feature vector; and performing topic segmentation on the speech transcript using the sentence vectors and feature vectors, the topic segmentation resulting in a listing of segments corresponding to the speech transcript. In certain embodiments, the feature vector may be at least one of a cue word feature vector, a speaker change feature vector, and a scene change feature vector.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2014</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=20140731&DB=EPODOC&CC=US&NR=2014214402A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25555,76308</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140731&DB=EPODOC&CC=US&NR=2014214402A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GADDE VENKATA RAMANA RAO</creatorcontrib><creatorcontrib>DIAO QIAN</creatorcontrib><title>IMPLEMENTATION OF UNSUPERVISED TOPIC SEGMENTATION IN A DATA COMMUNICATIONS ENVIRONMENT</title><description>A method is provided in one example embodiment and includes extracting sentences from data, which comprises a speech transcript; tokenizing the plurality of sentences to develop for each of the plurality of sentences a sentence vector and at least one feature vector; and performing topic segmentation on the speech transcript using the sentence vectors and feature vectors, the topic segmentation resulting in a listing of segments corresponding to the speech transcript. In certain embodiments, the feature vector may be at least one of a cue word feature vector, a speaker change feature vector, and a scene change feature vector.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2014</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyk0KwjAQQOFsXIh6hwHXQhNzgZBOdcBMQvOzLaXElWih3h9RBLeuHjy-tSjkwgUdcjKJPIPvIHPMAftCEVtIPpCFiKcfIQYDrUkGrHcuM9nPj4BcqPf8lluxuo63pe6-3Yh9h8meD3V-DHWZx6ne63PIUTVSK6l1o4w8_qdeoV4yHg</recordid><startdate>20140731</startdate><enddate>20140731</enddate><creator>GADDE VENKATA RAMANA RAO</creator><creator>DIAO QIAN</creator><scope>EVB</scope></search><sort><creationdate>20140731</creationdate><title>IMPLEMENTATION OF UNSUPERVISED TOPIC SEGMENTATION IN A DATA COMMUNICATIONS ENVIRONMENT</title><author>GADDE VENKATA RAMANA RAO ; DIAO QIAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2014214402A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2014</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>GADDE VENKATA RAMANA RAO</creatorcontrib><creatorcontrib>DIAO QIAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GADDE VENKATA RAMANA RAO</au><au>DIAO QIAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>IMPLEMENTATION OF UNSUPERVISED TOPIC SEGMENTATION IN A DATA COMMUNICATIONS ENVIRONMENT</title><date>2014-07-31</date><risdate>2014</risdate><abstract>A method is provided in one example embodiment and includes extracting sentences from data, which comprises a speech transcript; tokenizing the plurality of sentences to develop for each of the plurality of sentences a sentence vector and at least one feature vector; and performing topic segmentation on the speech transcript using the sentence vectors and feature vectors, the topic segmentation resulting in a listing of segments corresponding to the speech transcript. In certain embodiments, the feature vector may be at least one of a cue word feature vector, a speaker change feature vector, and a scene change feature vector.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | IMPLEMENTATION OF UNSUPERVISED TOPIC SEGMENTATION IN A DATA COMMUNICATIONS ENVIRONMENT |
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