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.
- Version1.4.3
- R versionR (≥ 3.5.0)
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- LSX citation info
- Last release04/22/2025
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Kohei Watanabe
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- Imports11 packages
- Suggests7 packages