conText: 'a la Carte' on Text (ConText) Embedding Regression (original) (raw)

A fast, flexible and transparent framework to estimate context-specific word and short document embeddings using the 'a la carte' embeddings approach developed by Khodak et al. (2018) <doi:10.48550/arXiv.1805.05388> and evaluate hypotheses about covariate effects on embeddings using the regression framework developed by Rodriguez et al. (2021)<doi:10.1017/S0003055422001228>. New version of the package applies a new estimator to measure the distance between word embeddings as described in Green et al. (2025) <doi:10.1017/pan.2024.22>.

Version:

3.0.0

Depends:

R (≥ 3.6.0)

Imports:

dplyr, Matrix (≥ 1.3-2), quanteda (≥ 3.0.0), text2vec (≥ 0.6), reshape2 (≥ 1.4.4), fastDummies (≥ 1.6.3), stringr (≥ 1.4.0), tidyr (≥ 1.1.3), ggplot2, broom, foreach, methods, estimatr, utils, stats, tidyselect