<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Word2vec Word Embeddings (3 year)</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/SATUTC</dcterms:identifier><dcterms:creator>Pair, Emma</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2021-12-07</dcterms:issued><dcterms:modified>2021-12-08T02:07:09Z</dcterms:modified><dcterms:description>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.</dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:subject>Social Sciences</dcterms:subject><dcterms:contributor>Pair, Emma</dcterms:contributor><dcterms:dateSubmitted>2021-01-20</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>