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LSX

Semi-Supervised Algorithm for Document Scaling

A word embeddings-based semi-supervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.

Versions across snapshots

VersionRepositoryFileSize
1.5.2 rolling linux/jammy R-4.5 LSX_1.5.2.tar.gz 168.2 KiB
1.5.2 rolling linux/noble R-4.5 LSX_1.5.2.tar.gz 167.3 KiB
1.5.2 rolling source/ R- LSX_1.5.2.tar.gz 1.9 MiB
1.5.2 latest linux/jammy R-4.5 LSX_1.5.2.tar.gz 168.2 KiB
1.5.2 latest linux/noble R-4.5 LSX_1.5.2.tar.gz 167.3 KiB
1.5.2 latest source/ R- LSX_1.5.2.tar.gz 1.9 MiB
1.5.2 2026-04-26 source/ R- LSX_1.5.2.tar.gz 1.9 MiB
1.5.2 2026-04-23 source/ R- LSX_1.5.2.tar.gz 1.9 MiB
1.5.2 2026-04-09 windows/windows R-4.5 LSX_1.5.2.zip 170.5 KiB
1.4.2 2025-04-20 source/ R- LSX_1.4.2.tar.gz 1.4 MiB

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