Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Making Them Remember—Emotional Virtual Characters with Memory
IEEE Computer Graphics and Applications
Construction of a blog emotion corpus for Chinese emotional expression analysis
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
An exploration of features for recognizing word emotion
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
An ontology for description of emotional cues
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
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To understand emotion and make machine emotion is one of the goals of affective computing. In order to recognize one's intention from the communication, both the meaning and the emotion are necessary to be interpreted correctly. But until now the study of fine-grained theory of emotion to describe inter-relationship of mental states is still full of challenges. In this paper, an emotion ontology from Chinese dictionary is semi-automatically created for human machine interaction. The proposed method of construction of emotion ontology includes affective word annotation and emotion predicate hierarchy extraction. Firstly, over 7,000 common affective words have been manually labeled as affective with their detailed explanations and been collected for an affective lexicon, then the consistent relationships in the affective lexicon are automatically parsed and a serial of emotion hierarchical structures are built up. More than 50 affective categories are extracted and about 5,000 nouns and adjectives, 2,000 verbs are categorized into the predicate hierarchy.