Advanced emotion categorization and tagging

Affective computing is attracting attentions as a popular growing field with many applications such as Kansei engineering, information retrieval and HCI. But until now the study of fine-grained theory of emotion is still a challenge. In this paper, a novel method to analyze emotion category is proposed according to the statistics of affective property in Dictionary of contemporary Chinese. These emotion categories are called complex emotion. Firstly, over 3,700 common affective words and their detailed explanations had been collected for an affective lexicon, then we analyze the consistent relationship in the affective lexicon and consequently 52 salient complex emotion states are categorized and tagged by a straightforward clustering algorithm. The complex emotions are compared to the traditional definitions of basic emotions in psychology and have been evaluated to be valid in the experiment. Moreover we also have tagged the semantic orientation for the collected words.