Sentiment Analysis

In today's digital world emotions are conveyed not only through words but also through emojis that enrich and redefine human expression. Hybrid Deep Learning Models for Sentiment Analysis using Text and Emojis presents a groundbreaking approach to understanding sentiments by integrating textual and emoji-based data within advanced deep learning frameworks.This book introduces innovative hybrid architectures-ECSSO EBERT and HCGO-that combine the strengths of convolutional recurrent transformer and graph-based neural networks. By fusing linguistic and visual-emotional cues these models achieve remarkable accuracy in interpreting complex sentiments sarcasm and context-rich digital communication.Through comprehensive experiments and evaluations the research demonstrates significant improvements over traditional text-only systems highlighting the transformative role of emojis in emotion-aware artificial intelligence.Designed for researchers scholars and professionals in Natural Language Processing (NLP) Artificial Intelligence (AI) and Data Science this book offers deep insights into multimodal sentiment analysis and the future of emotionally intelligent computing.