This repo contains the PyTorch-converted models for textual and visual sentiment analysis using different models for each analysis and finding the best model for each analysis.
For textual analysis:
Models:
1) Bernoulli Naive Bayes model
2) Logistic Regression model
3) Support Vector Machine (SVM)
For Further details and setps check the Textual_Analysis.docx file.
For Visual anlayis:
Models:
1) VGG-19 model
2) DenseNet121 model
3) ResNet50V2 model
For Further details and setps check the visual_analysis.docx file.
Usage:
Installment Requirements: Pytorch