import_subs: Get subs2vec model dimensions or frequency counts

In SemanticPriming/semanticprimeR: Semantic Priming Across Many Languages and Related Projects

Get subs2vec model dimensions or frequency counts

Description

This function allows you to import the current datasets available from the subs2vec project. You can use 'data("subsData")' to view the list of available models.

Usage

import_subs(language, what)

Arguments

language	Include a two letter code of the language you wish to download. Note: some of the '_vec' files are very large. It may take a while to download and import them. Use the tokens column to get an idea of how big the data is.
what	What would you like to download? Options are: 'subs_vec', 'subs_count', 'wiki_vec', and 'wiki_count'. The 'subs' are models based on the subtitles, the 'wiki' are models based on Wikipedia data, '_vec' indicates the fastText model dimensions of words by dimension score, and the '_count' indicates the frequency counts for that data.

Value

a dataset of either words by dimensions or the tokens including the frequency counts.

Examples

# af_dims <- import_subs(
#   language = "af",
#  what = "subs_vec"
# )

SemanticPriming/semanticprimeR documentation built on Dec. 5, 2024, 7:59 p.m.