izhar21 / msc_project-2022

Twitter Sentiment Analysis which include textual as well as visual sentiment analysis

Twitter Sentiment Analysis

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