PsychWordVec

Word Embedding Research Framework for Psychological Science.

An integrated toolkit of word embedding research that provides:

1. A collection of pre-trained word vectors in the .RData compressed format;
2. A variety of functions to process, analyze, and visualize word vectors;
3. A range of tests to examine conceptual associations, including the Word Embedding Association Test (Caliskan et al., 2017) and the Relative Norm Distance (Garg et al., 2018);
4. A set of training methods to locally train word vectors from text corpora, including Word2Vec (Mikolov et al., 2013), GloVe (Pennington et al., 2014), and FastText (Bojanowski et al., 2017).

Author

Han-Wu-Shuang (Bruce) Bao 包寒吴霜

Email: baohws@foxmail.com

Homepage: psychbruce.github.io

Citation

• Bao, H.-W.-S. (2022). PsychWordVec: Word embedding research framework for psychological science. R package version 0.1.x. https://CRAN.R-project.org/package=PsychWordVec

Installation

## Method 1: Install from CRAN
install.packages("PsychWordVec")

## Method 2: Install from GitHub
install.packages("devtools")
devtools::install_github("psychbruce/PsychWordVec", force=TRUE)

Functions

• Word Embeddings Data Management
  • data_transform()
  • data_wordvec_load()
  • data_wordvec_normalize()
  • data_wordvec_reshape()
  • data_wordvec_subset()
• Word Vectors Extraction, Dimensionality Reduction, and Visualization
  • get_wordvec()
  • get_wordvecs()
  • plot_wordvec()
  • plot_wordvec_tSNE()
• Word Semantic Similarity Analysis and Conceptual Association Test
  • cosine_similarity()
  • pair_similarity()
  • tab_similarity()
  • most_similar()
  • test_WEAT()
  • test_RND()
• Word Vectors Local Training (Word2Vec, GloVe, and FastText)
  • tokenize()
  • train_wordvec()

See the documentation (help pages) for their usage and details.