Multimodal Sentiment Analysis
This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions. Textual sentiment analysis framework as discussed in this book contains a novel way of doing sentiment analysis by merging linguistics...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Socio-Affective Computing,
8 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.