The invention discloses an emotion data analysis method. The method comprises the steps of obtaining to-be-analyzed data; performing word segmentation processing on the to-be-analyzed data to obtain word segmentation feature data; generating distributed word vectors used for determining semantic relationships among words in the word segmentation feature data according to the word segmentation feature data; according to the feature data of the words in the distributed word vectors, obtaining complete data vectors of the to-be-analyzed data; and performing classified calculation on the complete data vectors according to a learning model to obtain emotion attributes used for determining the to-be-analyzed data. Meanwhile, the invention furthermore discloses an emotion data analysis apparatus.