Package: transforEmotion
Title: Sentiment Analysis for Text, Image and Video using Transformer
        Models
Version: 0.1.7
Date: 2026-01-05
Author: Alexander Christensen [aut] (ORCID:
    <https://orcid.org/0000-0002-9798-7037>),
  Hudson Golino [aut] (ORCID: <https://orcid.org/0000-0002-1601-1447>),
  Aleksandar Tomašević [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4863-6051>)
Authors@R: c(person("Alexander", "Christensen", email = "alexpaulchristensen@gmail.com",
              role = "aut", comment = c(ORCID = "0000-0002-9798-7037")),
	           person("Hudson", "Golino", email = "hfg9s@virginia.edu", role = "aut",
	            comment = c(ORCID = "0000-0002-1601-1447")),
	           person("Aleksandar", "Tomašević", email = "atomashevic@gmail.com", role = c("aut", "cre"),
	           comment = c(ORCID = "0000-0003-4863-6051")))
Maintainer: Aleksandar Tomašević <atomashevic@gmail.com>
Description: 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>.
Depends: R (>= 3.5.0)
License: GPL (>= 3.0)
Encoding: UTF-8
Imports: dplyr, googledrive, LSAfun, Matrix, methods, pbapply, remotes,
        reticulate, textdata, jsonlite, ggplot2, reshape2, httr
Suggests: knitr, markdown, rmarkdown, rstudioapi, testthat (>= 3.0.0)
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-01-05 12:05:57 UTC; aleksandar
Repository: CRAN
Date/Publication: 2026-01-08 14:10:02 UTC
Built: R 4.6.0; ; 2026-04-30 05:22:33 UTC; unix
