https://github.com/sreeeswaran/multi-modal-sentiment-analysis-with-transformers

This project leverages the power of transformer models to perform sentiment analysis on both text and images. It uses BERT for text sentiment analysis and a pre-trained vision transformer (ViT) for image sentiment analysis.
https://github.com/sreeeswaran/multi-modal-sentiment-analysis-with-transformers

bert bert-model image-sentiment-analysis sentiment-analysis sentimental-analysis text-sentiment-analysis transformer-models transformers vision-transformer vit

Last synced: about 1 month ago
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This project leverages the power of transformer models to perform sentiment analysis on both text and images. It uses BERT for text sentiment analysis and a pre-trained vision transformer (ViT) for image sentiment analysis.

• Host: GitHub
• URL: https://github.com/sreeeswaran/multi-modal-sentiment-analysis-with-transformers
• Owner: SreeEswaran
• License: mit
• Created: 2024-07-19T17:29:35.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-05T16:47:37.000Z (about 1 year ago)
• Last Synced: 2025-01-22T23:25:25.708Z (9 months ago)
• Topics: bert, bert-model, image-sentiment-analysis, sentiment-analysis, sentimental-analysis, text-sentiment-analysis, transformer-models, transformers, vision-transformer, vit
• Language: Jupyter Notebook
• Homepage:
• Size: 20.5 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Multi-Modal-Sentiment-Analysis-with-Transformers

In this project, I have performed the sentiment analysis on both text and images using different tranformer models. It uses BERT for text sentiment analysis and a pre-trained vision transformer (ViT) for image sentiment analysis. The goal is to combine these modalities to predict the overall sentiment of a given multi-modal input.