transforEmotion: Sentiment Analysis for Text, Image and Video using Transformer Models
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 Tomašević
[aut, cre] |
| Maintainer: | Aleksandar Tomašević <atomashevic at gmail.com> |
| License: | GPL (≥ 3.0) |
| NeedsCompilation: | no |
| Citation: | transforEmotion citation info |
| Materials: | README, NEWS |
| CRAN checks: | transforEmotion results |
Documentation:
| Reference manual: | transforEmotion.html , transforEmotion.pdf |
| Vignettes: |
Setup and Tutorial (source, R code) |
Downloads:
| Package source: | transforEmotion_0.1.6.tar.gz |
| Windows binaries: | r-devel: transforEmotion_0.1.6.zip, r-release: transforEmotion_0.1.6.zip, r-oldrel: transforEmotion_0.1.6.zip |
| macOS binaries: | r-release (arm64): transforEmotion_0.1.6.tgz, r-oldrel (arm64): transforEmotion_0.1.6.tgz, r-release (x86_64): transforEmotion_0.1.6.tgz, r-oldrel (x86_64): transforEmotion_0.1.6.tgz |
| Old sources: | transforEmotion archive |
Linking:
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