Implements sentiment analysis using huggingface <https://huggingface.co> transformer zero-shot classification model pipelines for text and image data. The default text pipeline is Cross-Encoder's DistilRoBERTa <https://huggingface.co/cross-encoder/nli-distilroberta-base> and default image/video pipeline is Open AI's CLIP <https://huggingface.co/openai/clip-vit-base-patch32>. All other zero-shot classification model pipelines can be implemented using their model name from <https://huggingface.co/models?pipeline_tag=zero-shot-classification>.
Version: 0.1.6 Depends: R (≥ 3.5.0) Imports: dplyr, googledrive, LSAfun, Matrix, methods, pbapply, progress, remotes, reticulate Suggests: knitr, markdown, rmarkdown, rstudioapi, testthat (≥ 3.0.0) Published: 2025-05-15 DOI: 10.32614/CRAN.package.transforEmotion Author: Alexander Christensen [aut], Hudson Golino [aut], Aleksandar TomaÅ¡eviÄ [aut, cre] Maintainer: Aleksandar TomaÅ¡eviÄ <atomashevic at gmail.com> License: GPL (≥ 3.0) NeedsCompilation: no Citation: transforEmotion citation info Materials: README NEWS CRAN checks: transforEmotion results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=transforEmotion to link to this page.
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