DESCRIPTION

Package: transforEmotion
Title: Sentiment Analysis for Text, Image and Video using Transformer Models
Version: 0.1.6
Date: 2024-08-21
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>.
License: GPL (>= 3.0)
Encoding: UTF-8
Imports: dplyr, googledrive, LSAfun, Matrix, methods, pbapply, remotes, reticulate
Suggests: knitr, markdown, rmarkdown, rstudioapi, testthat (>= 3.0.0)
VignetteBuilder: knitr
RoxygenNote: 7.3.2
Config/testthat/edition: 3