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.
- Version1.4.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release03/05/2024
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Kohei Watanabe
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- Imports14 packages
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