Package: sweater 0.1.9

Chung-hong Chan

sweater: Speedy Word Embedding Association Test and Extras Using R

Conduct various tests for evaluating implicit biases in word embeddings: Word Embedding Association Test (Caliskan et al., 2017), <doi:10.1126/science.aal4230>, Relative Norm Distance (Garg et al., 2018), <doi:10.1073/pnas.1720347115>, Mean Average Cosine Similarity (Mazini et al., 2019) <arxiv:1904.04047>, SemAxis (An et al., 2018) <arxiv:1806.05521>, Relative Negative Sentiment Bias (Sweeney & Najafian, 2019) <doi:10.18653/v1/P19-1162>, and Embedding Coherence Test (Dev & Phillips, 2019) <arxiv:1901.07656>.

Authors:Chung-hong Chan [aut, cre]

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sweater_0.1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sweater/json (API)

# Install 'sweater' in R:

install.packages('sweater', repos = c('https://gesistsa.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gesistsa/sweater/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

glove_math - A subset of the pretrained GLoVE word vectors
googlenews - A subset of the pretrained word2vec word vectors
small_reddit - A subset of the pretrained word2vec word vectors on Reddit

On CRAN:

bias-detection textanalysis wordembedding cpp

4.83 score 32 stars 21 scripts 284 downloads 19 exports 23 dependencies

Last updated from:264188be60. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	140
linux-devel-x86_64	OK	126
source / vignettes	OK	167
linux-release-arm64	OK	118
linux-release-x86_64	OK	170
macos-release-arm64	OK	100
macos-release-x86_64	OK	307
macos-oldrel-arm64	OK	107
macos-oldrel-x86_64	OK	224
windows-devel-arm64	OK	196
windows-devel-x86_64	OK	139
windows-release-arm64	OK	222
windows-release-x86_64	OK	101
windows-oldrel-x86_64	OK	77
wasm-release	OK	93

Exports:calculate_es ect ect_es mac mac_es nas plot_bias plot_ect query read_word2vec rnd rnd_es rnsb rnsb_es semaxis weat weat_es weat_exact weat_resampling

Dependencies:cli combinat data.table fastmatch glue ISOcodes jsonlite lattice LiblineaR lifecycle magrittr Matrix proxy purrr quanteda Rcpp rlang SnowballC stopwords stringi vctrs xml2 yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculate the effect size of a query	calculate_es
Embedding Coherence Test	ect
Calculate the Spearman Coefficient of an ECT result	ect_es
A subset of the pretrained GLoVE word vectors	glove_math
A subset of the pretrained word2vec word vectors	googlenews
Mean average cosine similarity	mac
Calculation of MAC Effect Size	mac_es
Calculate Normalized Association Score	nas
Visualize the bias of words in S	plot.sweater plot_bias
Plot an ECT result on a two-dimensional plane	plot_ect
A common interface for making query	print.sweater query
A helper function for reading word2vec format	read_word2vec
Relative Norm Distance	rnd
Calculation of sum of all relative norm distances	rnd_es
Relative Negative Sentiment Bias	rnsb
Calculation the Kullback-Leibler divergence	rnsb_es
Characterise word semantics using the SemAxis framework	semaxis
A subset of the pretrained word2vec word vectors on Reddit	small_reddit
Speedy Word Embedding Association Test	weat
Calculation of WEAT effect size	weat_es
Test of significance for WEAT	weat_exact weat_resampling