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.
- Version0.1.5
- R version≥ 3.5.0
- LicenseGPL (≥ 3.0)
- Needs compilation?No
- transforEmotion citation info
- Last release08/20/2024
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Team
Aleksandar Tomašević
Hudson Golino
Show author detailsRolesAuthorAlexander Christensen
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- Imports7 packages
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