Towards using multimodal features of social networks for improved contextual emotion detection
Files
Department
Computer Science & Engineering Department
Description
[abstract not available]
Publication Date
5-28-2013
Document Type
Book Chapter
Book Title
PECCS 2013 - Proceedings of the 3rd International Conference on Pervasive Embedded Computing and Communication Systems
Editors
César Benavente-Peces; Joaquim Filipe
ISBN
SCOPUS_ID:84878059146
Publisher
PECCS
City
Barcelona, Spain
First Page
113
Last Page
117
Keywords
Emotion, Mood, Multimodal, Pervasive, Social networks
Recommended Citation
APA Citation
Rizk, A.
Aly, S.
&
Shalan, M.
(2013).Towards using multimodal features of social networks for improved contextual emotion detection. PECCS. , 113-117
https://fount.aucegypt.edu/faculty_book_chapters/581
MLA Citation
Rizk, Ahmed S., et al.
Towards using multimodal features of social networks for improved contextual emotion detection. PECCS, 2013.pp. 113-117
https://fount.aucegypt.edu/faculty_book_chapters/581