We propose a number of characteristics of good sentiment terms from the perspectives of informativeness, prominence, topic-relevance, and semantic aspects using collection statistics, contextual information, semantic associations as well as opinion-related properties of terms.
this paper introduces an approach to the sentiment analysis tasks with an emphasis on how to represent and evaluate the weights of sentiment terms.