The affective reasoner: a process model of emotions in a multi-agent system
The affective reasoner: a process model of emotions in a multi-agent system
A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
Extracting information about emotions in films
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A framework for aligning and indexing movies with their script
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Detection and application of influence rankings in small group meetings
Proceedings of the 8th international conference on Multimodal interfaces
Using audio and video features to classify the most dominant person in a group meeting
Proceedings of the 15th international conference on Multimedia
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Movie/Script: Alignment and Parsing of Video and Text Transcription
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Taking the bite out of automated naming of characters in TV video
Image and Vision Computing
Lexical Affinity Measure between Words
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
RoleNet: movie analysis from the perspective of social networks
IEEE Transactions on Multimedia - Special issue on integration of context and content
A Framework for Emotion Mining from Text in Online Social Networks
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
Automatic emotion annotation of movie dialogue using WordNet
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Expert Systems with Applications: An International Journal
Emotion estimation and reasoning based on affective textual interaction
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Social network analysis in a movie using character-net
Multimedia Tools and Applications
Comparative study of text clustering techniques in virtual worlds
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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Stories in digital content (e.g., movies) are usually developed using many kinds of relationships among the characters. In order to efficiently manage such contents, we want to exploit a social network (called Character-net) extracted from the stories. Since scripts are composed of several elements (i.e., scene headings, character names, dialogs, actions, etc.), we focus on analyzing interactions (e.g., dialog) among the characters to build such a social network. Most importantly, these relationships between minor and major characters can be abstracted and clustered into similar scenes. Thereby, in this paper, we propose a novel method that can cluster characters using their emotional similarity. If a minor character has a similar emotion vector tothe main character, then the minor character can be classified as a tritagonist who helps the main character. Conversely, this minor character may be clustered into another group and denoted as an antagonist. Additionally, we show the efficiency of our proposed method by experiment in this paper.