Self-Service Classification System

Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as THOMSON REUTERS SELF-SERVICE CLASSIFICATION™, employ part machine learning and part an user interactive approach to generate a customized classification model. Th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Hazai Oren, Goldshlager Alexandra Rabinovich, Ben-Shlomo Yossi, Levinson Dmitry, Khalaman Savva, Weintraub Lior, Sharabi Evyatar, Lindman Yael, Rom Ofri, Hertz Shai, Weinreb Enav, Zarosim Hila, Azikri Ehud
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 Hazai Oren
Goldshlager Alexandra Rabinovich
Ben-Shlomo Yossi
Levinson Dmitry
Khalaman Savva
Weintraub Lior
Sharabi Evyatar
Lindman Yael
Rom Ofri
Hertz Shai
Weinreb Enav
Zarosim Hila
Azikri Ehud
description Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as THOMSON REUTERS SELF-SERVICE CLASSIFICATION™, employ part machine learning and part an user interactive approach to generate a customized classification model. The system combines a novel approach for text classification using a smaller initial set of data to initiate training, with a unique workflow and user interaction for customization.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2017286869A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2017286869A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2017286869A13</originalsourceid><addsrcrecordid>eNrjZFAKTs1J0w1OLSrLTE5VcM5JLC7OTMtMTizJzM9TCK4sLknN5WFgTUvMKU7lhdLcDMpuriHOHrqpBfnxqcUFicmpeakl8aHBRgaG5kYWZhZmlo6GxsSpAgBIrycY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Self-Service Classification System</title><source>esp@cenet</source><creator>Hazai Oren ; Goldshlager Alexandra Rabinovich ; Ben-Shlomo Yossi ; Levinson Dmitry ; Khalaman Savva ; Weintraub Lior ; Sharabi Evyatar ; Lindman Yael ; Rom Ofri ; Hertz Shai ; Weinreb Enav ; Zarosim Hila ; Azikri Ehud</creator><creatorcontrib>Hazai Oren ; Goldshlager Alexandra Rabinovich ; Ben-Shlomo Yossi ; Levinson Dmitry ; Khalaman Savva ; Weintraub Lior ; Sharabi Evyatar ; Lindman Yael ; Rom Ofri ; Hertz Shai ; Weinreb Enav ; Zarosim Hila ; Azikri Ehud</creatorcontrib><description>Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as THOMSON REUTERS SELF-SERVICE CLASSIFICATION™, employ part machine learning and part an user interactive approach to generate a customized classification model. The system combines a novel approach for text classification using a smaller initial set of data to initiate training, with a unique workflow and user interaction for customization.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2017</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&amp;date=20171005&amp;DB=EPODOC&amp;CC=US&amp;NR=2017286869A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20171005&amp;DB=EPODOC&amp;CC=US&amp;NR=2017286869A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Hazai Oren</creatorcontrib><creatorcontrib>Goldshlager Alexandra Rabinovich</creatorcontrib><creatorcontrib>Ben-Shlomo Yossi</creatorcontrib><creatorcontrib>Levinson Dmitry</creatorcontrib><creatorcontrib>Khalaman Savva</creatorcontrib><creatorcontrib>Weintraub Lior</creatorcontrib><creatorcontrib>Sharabi Evyatar</creatorcontrib><creatorcontrib>Lindman Yael</creatorcontrib><creatorcontrib>Rom Ofri</creatorcontrib><creatorcontrib>Hertz Shai</creatorcontrib><creatorcontrib>Weinreb Enav</creatorcontrib><creatorcontrib>Zarosim Hila</creatorcontrib><creatorcontrib>Azikri Ehud</creatorcontrib><title>Self-Service Classification System</title><description>Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as THOMSON REUTERS SELF-SERVICE CLASSIFICATION™, employ part machine learning and part an user interactive approach to generate a customized classification model. The system combines a novel approach for text classification using a smaller initial set of data to initiate training, with a unique workflow and user interaction for customization.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2017</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFAKTs1J0w1OLSrLTE5VcM5JLC7OTMtMTizJzM9TCK4sLknN5WFgTUvMKU7lhdLcDMpuriHOHrqpBfnxqcUFicmpeakl8aHBRgaG5kYWZhZmlo6GxsSpAgBIrycY</recordid><startdate>20171005</startdate><enddate>20171005</enddate><creator>Hazai Oren</creator><creator>Goldshlager Alexandra Rabinovich</creator><creator>Ben-Shlomo Yossi</creator><creator>Levinson Dmitry</creator><creator>Khalaman Savva</creator><creator>Weintraub Lior</creator><creator>Sharabi Evyatar</creator><creator>Lindman Yael</creator><creator>Rom Ofri</creator><creator>Hertz Shai</creator><creator>Weinreb Enav</creator><creator>Zarosim Hila</creator><creator>Azikri Ehud</creator><scope>EVB</scope></search><sort><creationdate>20171005</creationdate><title>Self-Service Classification System</title><author>Hazai Oren ; Goldshlager Alexandra Rabinovich ; Ben-Shlomo Yossi ; Levinson Dmitry ; Khalaman Savva ; Weintraub Lior ; Sharabi Evyatar ; Lindman Yael ; Rom Ofri ; Hertz Shai ; Weinreb Enav ; Zarosim Hila ; Azikri Ehud</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2017286869A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2017</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Hazai Oren</creatorcontrib><creatorcontrib>Goldshlager Alexandra Rabinovich</creatorcontrib><creatorcontrib>Ben-Shlomo Yossi</creatorcontrib><creatorcontrib>Levinson Dmitry</creatorcontrib><creatorcontrib>Khalaman Savva</creatorcontrib><creatorcontrib>Weintraub Lior</creatorcontrib><creatorcontrib>Sharabi Evyatar</creatorcontrib><creatorcontrib>Lindman Yael</creatorcontrib><creatorcontrib>Rom Ofri</creatorcontrib><creatorcontrib>Hertz Shai</creatorcontrib><creatorcontrib>Weinreb Enav</creatorcontrib><creatorcontrib>Zarosim Hila</creatorcontrib><creatorcontrib>Azikri Ehud</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hazai Oren</au><au>Goldshlager Alexandra Rabinovich</au><au>Ben-Shlomo Yossi</au><au>Levinson Dmitry</au><au>Khalaman Savva</au><au>Weintraub Lior</au><au>Sharabi Evyatar</au><au>Lindman Yael</au><au>Rom Ofri</au><au>Hertz Shai</au><au>Weinreb Enav</au><au>Zarosim Hila</au><au>Azikri Ehud</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Self-Service Classification System</title><date>2017-10-05</date><risdate>2017</risdate><abstract>Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as THOMSON REUTERS SELF-SERVICE CLASSIFICATION™, employ part machine learning and part an user interactive approach to generate a customized classification model. The system combines a novel approach for text classification using a smaller initial set of data to initiate training, with a unique workflow and user interaction for customization.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US2017286869A1
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Self-Service Classification System
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T02%3A43%3A13IST&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=Hazai%20Oren&rft.date=2017-10-05&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2017286869A1%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