E-Book, Englisch, Band 8, 214 Seiten, eBook
Reihe: Socio-Affective Computing
ISBN: 978-3-319-95020-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
Aimed at the Natural Language Processing, Affective Computing and Artificial Intelligence audiences, this comprehensive volume will appeal to a wide readership and will help readers to understand key details on multimodal sentiment analysis.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Preface.- Introduction and Motivation.- Background.- Literature Survey and Datasets.- Concept Extraction from Natural Text for Concept Level Text Analysis.- EmoSenticSpace: Dense concept-based affective features with common-sense knowledge.- Sentic Patterns: Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns.- Combining Textual Clues with Audio-Visual Information for Multimodal Sentiment Analysis.- Conclusion and Future Work.- Index.