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wordvector

Word and Document Vector Models

Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546>, Doc2vec (Le & Mikolov, 2014) <doi:10.48550/arXiv.1405.4053> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.

Versions across snapshots

VersionRepositoryFileSize
0.6.2 rolling linux/jammy R-4.5 wordvector_0.6.2.tar.gz 3.9 MiB
0.6.2 rolling linux/noble R-4.5 wordvector_0.6.2.tar.gz 3.9 MiB
0.6.2 rolling source/ R- wordvector_0.6.2.tar.gz 4.2 MiB
0.6.2 latest linux/jammy R-4.5 wordvector_0.6.2.tar.gz 3.9 MiB
0.6.2 latest linux/noble R-4.5 wordvector_0.6.2.tar.gz 3.9 MiB
0.6.2 latest source/ R- wordvector_0.6.2.tar.gz 4.2 MiB
0.6.2 2026-04-26 source/ R- wordvector_0.6.2.tar.gz 4.2 MiB
0.6.2 2026-04-23 source/ R- wordvector_0.6.2.tar.gz 4.2 MiB
0.6.2 2026-04-09 windows/windows R-4.5 wordvector_0.6.2.zip 4.2 MiB
0.3.0 2025-04-20 source/ R- wordvector_0.3.0.tar.gz 2.7 MiB

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