Title :
Emotion detection using keywords spotting and semantic network IEEE ICOCI 2006
Author :
Ling, Huan Su ; Bali, Ranaivo ; Salam, Rosalina Abdul
Author_Institution :
Sch. of Comput. Sci., Univ. Sains Malaysia, Minden, Malaysia
Abstract :
Emotion can be expressed in ways that can be seen such as facial expression and gestures. Emotion can also be heard by detecting prosody features and other vocal characteristics. However in this research, we are interested to detect emotions from textual information. Our main objective is to predict the emotions from textual material such as e-mails that is related to relationship. We work on emotion detection by using keywords spotting method and semantic network method. We examined both the methods and achieved a better result with the semantic network model.
Keywords :
object detection; semantic networks; e-mails; emotion detection; facial expression; facial gestures; keywords spotting method; semantic network IEEE ICOCI 2006; textual information; Computer networks; Computer vision; Counting circuits; Face detection; Frequency; Psychology; Speech; Statistical analysis; Text categorization;
Conference_Titel :
Computing & Informatics, 2006. ICOCI '06. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-0219-9
Electronic_ISBN :
978-1-4244-0220-5
DOI :
10.1109/ICOCI.2006.5276495
