<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Word2vec Word Embeddings (3 year)</titl><IDNo agency="DOI">doi:10.7910/DVN/SATUTC</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2021-12-07</distDate></distStmt><verStmt source="archive"><version date="2021-12-08" type="RELEASED">1</version></verStmt><biblCit>Pair, Emma, 2021, "Word2vec Word Embeddings (3 year)", https://doi.org/10.7910/DVN/SATUTC, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Word2vec Word Embeddings (3 year)</titl><IDNo agency="DOI">doi:10.7910/DVN/SATUTC</IDNo></titlStmt><rspStmt><AuthEnty>Pair, Emma</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact email="emmapair@gmail.com">Pair, Emma</contact><depositr>Pair, Emma</depositr><depDate>2021-01-20</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/SATUTC"/></citation><stdyInfo><subject><keyword xml:lang="en">Computer and Information Science</keyword><keyword xml:lang="en">Social Sciences</keyword></subject><abstract>These are word2vec word embeddings created from article text grouped into three years (e.g. 1998-2000, 2001-2003) from the Daily Nation, a Kenyan newspaper, and the corresponding vocabulary files.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat/></stdyDscr><otherMat ID="f4306805" URI="https://dataverse.harvard.edu/api/access/datafile/4306805" 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