Sentiment Analysis: Hybrid Deep Learning Models for Sentiment Analysis: Leveraging Text and Emoji for Improved Sentiment Classification - Tapa blanda

Kuruva, Dr Arjun; Nagaraju, Prof C

 
9786209025587: Sentiment Analysis: Hybrid Deep Learning Models for Sentiment Analysis: Leveraging Text and Emoji for Improved Sentiment Classification
Tapa blanda
ISBN 10: 6209025587 ISBN 13: 9786209025587
Editorial: LAP Lambert Academic Publishing, 2025

Sinopsis

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.

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Editorial
LAP Lambert Academic Publishing
Año de publicación
2025
Idioma
Inglés
ISBN 10 
6209025587
ISBN 13 
9786209025587
Encuadernación
Tapa blanda
Número de páginas
164
Contacto del fabricante
no disponible
Persona responsable
no disponible