Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship

We address the question of authorship of biblical texts by employing statistical analysis to the frequency of words using a new method that is particularly sensitive to deviations in frequencies associated with few words out of potentially many. The data below consists of the "discriminating wo...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Römer, Thomas, Bühler, Axel, Piasetzky, Eli, Faigenbaum-Golovin, Shira, Finkelstein, Israel, Kipnis, Alon
Format:	Dataset
Sprache:	eng
Schlagworte:	Authorship Biblical Natural language processing (Computer science)
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	Römer, Thomas Bühler, Axel Piasetzky, Eli Faigenbaum-Golovin, Shira Finkelstein, Israel Kipnis, Alon
description	We address the question of authorship of biblical texts by employing statistical analysis to the frequency of words using a new method that is particularly sensitive to deviations in frequencies associated with few words out of potentially many. The data below consists of the "discriminating words" which have the biggest effect on the value of the Higher Criticism statistic from the analyses of 50 chapters.
doi_str_mv	10.7924/r42b97k21
format	Dataset
fullrecord	<record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_7924_r42b97k21</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_7924_r42b97k21</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_7924_r42b97k213</originalsourceid><addsrcrecordid>eNqVjrsOgkAQRbexMGrhH0xroQKSEGhR4wdoZbEZYJGJy4K7A8rf-4ixt7q3OMk5Qsx9bxXFQbi2YZDF0TXwx-K8RUYobVMnkFpiylFDRpn-HMddQcpBTwj3xhYvUN06ZfIB0KAeHLkETqZXpMlcgNWDATuuGusqaqdiVKJ2avbdiVjsd8f0sCxezpxYydZSjXaQviffYfIXtvmHfQLTwUXi</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship</title><source>DataCite</source><creator>Römer, Thomas ; Bühler, Axel ; Piasetzky, Eli ; Faigenbaum-Golovin, Shira ; Finkelstein, Israel ; Kipnis, Alon</creator><creatorcontrib>Römer, Thomas ; Bühler, Axel ; Piasetzky, Eli ; Faigenbaum-Golovin, Shira ; Finkelstein, Israel ; Kipnis, Alon</creatorcontrib><description>We address the question of authorship of biblical texts by employing statistical analysis to the frequency of words using a new method that is particularly sensitive to deviations in frequencies associated with few words out of potentially many. The data below consists of the "discriminating words" which have the biggest effect on the value of the Higher Criticism statistic from the analyses of 50 chapters.</description><identifier>DOI: 10.7924/r42b97k21</identifier><language>eng</language><publisher>Duke Research Data Repository</publisher><subject>Authorship ; Biblical ; Natural language processing (Computer science)</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.7924/r42b97k21$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Römer, Thomas</creatorcontrib><creatorcontrib>Bühler, Axel</creatorcontrib><creatorcontrib>Piasetzky, Eli</creatorcontrib><creatorcontrib>Faigenbaum-Golovin, Shira</creatorcontrib><creatorcontrib>Finkelstein, Israel</creatorcontrib><creatorcontrib>Kipnis, Alon</creatorcontrib><title>Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship</title><description>We address the question of authorship of biblical texts by employing statistical analysis to the frequency of words using a new method that is particularly sensitive to deviations in frequencies associated with few words out of potentially many. The data below consists of the "discriminating words" which have the biggest effect on the value of the Higher Criticism statistic from the analyses of 50 chapters.</description><subject>Authorship</subject><subject>Biblical</subject><subject>Natural language processing (Computer science)</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2024</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVjrsOgkAQRbexMGrhH0xroQKSEGhR4wdoZbEZYJGJy4K7A8rf-4ixt7q3OMk5Qsx9bxXFQbi2YZDF0TXwx-K8RUYobVMnkFpiylFDRpn-HMddQcpBTwj3xhYvUN06ZfIB0KAeHLkETqZXpMlcgNWDATuuGusqaqdiVKJ2avbdiVjsd8f0sCxezpxYydZSjXaQviffYfIXtvmHfQLTwUXi</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Römer, Thomas</creator><creator>Bühler, Axel</creator><creator>Piasetzky, Eli</creator><creator>Faigenbaum-Golovin, Shira</creator><creator>Finkelstein, Israel</creator><creator>Kipnis, Alon</creator><general>Duke Research Data Repository</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>2024</creationdate><title>Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship</title><author>Römer, Thomas ; Bühler, Axel ; Piasetzky, Eli ; Faigenbaum-Golovin, Shira ; Finkelstein, Israel ; Kipnis, Alon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_7924_r42b97k213</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Authorship</topic><topic>Biblical</topic><topic>Natural language processing (Computer science)</topic><toplevel>online_resources</toplevel><creatorcontrib>Römer, Thomas</creatorcontrib><creatorcontrib>Bühler, Axel</creatorcontrib><creatorcontrib>Piasetzky, Eli</creatorcontrib><creatorcontrib>Faigenbaum-Golovin, Shira</creatorcontrib><creatorcontrib>Finkelstein, Israel</creatorcontrib><creatorcontrib>Kipnis, Alon</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Römer, Thomas</au><au>Bühler, Axel</au><au>Piasetzky, Eli</au><au>Faigenbaum-Golovin, Shira</au><au>Finkelstein, Israel</au><au>Kipnis, Alon</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship</title><date>2024</date><risdate>2024</risdate><abstract>We address the question of authorship of biblical texts by employing statistical analysis to the frequency of words using a new method that is particularly sensitive to deviations in frequencies associated with few words out of potentially many. The data below consists of the "discriminating words" which have the biggest effect on the value of the Higher Criticism statistic from the analyses of 50 chapters.</abstract><pub>Duke Research Data Repository</pub><doi>10.7924/r42b97k21</doi><oa>free_for_read</oa></addata></record>
fulltext	fulltext_linktorsrc
identifier	DOI: 10.7924/r42b97k21
ispartof
issn
language	eng
recordid	cdi_datacite_primary_10_7924_r42b97k21
source	DataCite
subjects	Authorship Biblical Natural language processing (Computer science)
title	Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T03%3A25%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=R%C3%B6mer,%20Thomas&rft.date=2024&rft_id=info:doi/10.7924/r42b97k21&rft_dat=%3Cdatacite_PQ8%3E10_7924_r42b97k21%3C/datacite_PQ8%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