This thesis presents a framework for image sentiment analysis using Convolutional Neural Networks (CNNs). The model detects and predicts emotions from facial expressions in images. It provides accurate results, making it useful for applications like social media analysis and human-computer interaction.

This thesis presents a framework for image sentiment analysis using Convolutional Neural Networks (CNNs). The model detects and predicts emotions from facial expressions in images. It provides accurate results, making it useful for applications like social media analysis and human-computer interaction.

Deep Learning-Based Framework for Image Sentiment Analysis

TABISH, MUHAMMAD
2024/2025

Abstract

This thesis presents a framework for image sentiment analysis using Convolutional Neural Networks (CNNs). The model detects and predicts emotions from facial expressions in images. It provides accurate results, making it useful for applications like social media analysis and human-computer interaction.
2024
Deep Learning-Based Framework for Image Sentiment Analysis
This thesis presents a framework for image sentiment analysis using Convolutional Neural Networks (CNNs). The model detects and predicts emotions from facial expressions in images. It provides accurate results, making it useful for applications like social media analysis and human-computer interaction.
Deep Learning
Sentiment Analysis
Emotion Recognition
Pre-trained Models
ERSEGHE, TOMASO
Lauree magistrali
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/84824