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text: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning
Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Getting started
README.md
Creating a Singularity Container to Run HuggingFace Transformers Models in R
Extended Installation Guide"
Getting started
How to best manage computationally heavy analyses
HuggingFace language models are downloaded in .cache
HuggingFace Transformers in R: Word Embeddings Defaults and Specifications
Pre-registration and Researcher Degrees of Freedom
Pre-Trained Models
Psychological Methods: the Text Tutorial
Browse package contents
Package details |
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| Author | Oscar Kjell [aut, cre] (<https://orcid.org/0000-0002-2728-6278>), Salvatore Giorgi [aut] (<https://orcid.org/0000-0001-7381-6295>), Andrew Schwartz [aut] (<https://orcid.org/0000-0002-6383-3339>) |
| Maintainer | Oscar Kjell <oscar.kjell@psy.lu.se> |
| License | GPL-3 |
| Version | 1.2.3 |
| URL | https://r-text.org/ https://github.com/OscarKjell/text/ |
| Package repository | View on CRAN |
| Installation |
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