Learning Subjective Adjectives from Corpora
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Emotion Classification of Online News Articles from the Reader's Perspective
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IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
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This paper introduces the novel research of emotion analysis from both the writer's and reader's perspectives. A challenge that comes up is the lack of a corpus annotated with both writer and reader emotions. We tackle this problem by combining an online writer-emotion corpus and an online reader-emotion corpus. Statistical analyses are then performed on this newly-generated corpus. It is discovered that there is indeed a relationship between writer and reader emotions.