Abstract
An emotion tagging method using emotion-related words is proposed and applied to access log analysis of news site in this paper. The system tags one of 8 emotions (joy, like, safe, fear, anger, disgust, sad, shame) to one sentence. There are 5 steps in the proposed emotion tagging method. 1) The system tags emotion to the sentence directly which have the emotion-related word in emotion database. 2) The system does morphological analysis for the sentence which can not be tagged emotion in the first step. 3) Searching emotion queries based on emotion-related words are made using emotion database. 4) The system posts the searching emotion queries and each word in the sentence to Mainichi news database and calculates the co-occurrence score. 5) The system changes the score considering the importance of each word.
