CRAN/E | transforEmotion

transforEmotion

Sentiment Analysis for Text, Image and Video using Transformer Models

Installation

About

Implements sentiment analysis using huggingface transformer zero-shot classification model pipelines for text and image data. The default text pipeline is Cross-Encoder's DistilRoBERTa and default image/video pipeline is Open AI's CLIP . All other zero-shot classification model pipelines can be implemented using their model name from .

Citation transforEmotion citation info

Key Metrics

Version 0.1.4
R ≥ 3.5.0
Published 2024-01-09 112 days ago
Needs compilation? no
License GPL (≥ 3.0)
CRAN checks transforEmotion results

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Maintainer

Maintainer

Aleksandar Tomašević

atomashevic@gmail.com

Authors

Alexander Christensen

aut

Hudson Golino

aut

Aleksandar Tomašević

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Setup and Tutorial

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

transforEmotion archive

Depends

R ≥ 3.5.0

Imports

reticulate
pbapply
googledrive
LSAfun
dplyr
remotes
Matrix

Suggests

markdown
knitr
rmarkdown
rstudioapi
testthat ≥ 3.0.0