一种基于情绪表达与情绪认知分离的新型情绪词典

he current emotion dictionary usually annotates the categories and strength of emotion words, but lack of the capacity to distinguish emotional expression and emotional cognitive. Meanwhile, the direct annotation on the words always leads to emotion annotation ambiguities caused by the word sense ambiguities. Based on the analysis on the generation and migration mechanisms of individual emotions, this papers proposes a text emotion computing framework based on "cognitive stimulation - reflective expression" mechanism. Under this framework, we explores the construction of a new emotion dictionary through analyze the function and characteristics of emotion words. Firstly, we introduce the part-of-speech and sense information provided by HowNet for separating one word to multiple entries corresponding to different senses in order to reduce emotional annotation ambiguity. Secondly, the emotion expression and emotion cognition results by the same entry are distinguished. The emotion categories and corresponding strength are annotated from different aspects, respectively. Meanwhile, the types of emotion expression and emotion cognition are refined annotated, respectively. Finally, a preliminary new emotion dictionary is constructed with a clear framework, rich emotional knowledge and low ambiguity.