As reported in (Fragopanagos and Taylor, 2005), emotion analysis could suffer from insufficient or misleading emotion features if context is not taken into account.
we explore an automatic document emotion analysis model, which takes the dynamically annotated emotional words as features and explores the statistic parameters extracted from the Ren-CECps 1 (Quan and Ren, 2010) to help correctly predict the document emotions from previously generated word emotions.