Multi-Modal Sentiment Analysis
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| Autore: |
Xu Hua
|
| Titolo: |
Multi-Modal Sentiment Analysis
|
| Pubblicazione: | Springer Nature, 2023 |
| Edizione: | 1st ed. |
| Descrizione fisica: | 1 online resource (261 p.) |
| Disciplina: | 006.35 |
| Soggetto topico: | Human-computer interaction |
| Natural language processing (Computer science) | |
| Sentiment analysis | |
| Sommario/riassunto: | The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on. To enable intelligent computers to have multi-modal sentiment analysis ability, it is necessary to equip them with a strong multi-modal sentiment analysis ability during the process of human-computer interaction. This is one of the key technologies for efficient and intelligent human-computer interaction. This book focuses on the research and practical applications of multi-modal sentiment analysis for human-computer natural interaction, particularly in the areas of multi-modal information feature representation, feature fusion, and sentiment classification. Multi-modal sentiment analysis for natural interaction is a comprehensive research field that involves the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. Currently, research on multi-modal sentiment analysis in natural interaction is developing rapidly. This book can be used as a professional textbook in the fields of natural interaction, intelligent question answering (customer service), natural language processing, human-computer interaction, etc. It can also serve as an important reference book for the development of systems and products in intelligent robots, natural language processing, human-computer interaction, and related fields. |
| Titolo autorizzato: | Multi-Modal Sentiment Analysis |
| ISBN: | 981-9957-76-1 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910768459403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |