Abstract: With the development of user-centric Web 2.0, social network platforms have infiltrated all aspects of life with amazing impact, and the sentiment analysis of the content in social network has become a popular research topic. Online social network sites such as Twitter and Sina Weibo have attracted a large number of users. Through user interaction, a lot of information including social relationships among users has been generated. Social relationships are widely used in the fields of personalized recommendations and sentiment analysis in social network. Social network sentiment analysis integrating social relationships is to apply the social relationships formed by user interactions to the sentiment analysis of users’ content posted on the social network. It is intended to solve the problems of low accuracy of sentiment analysis caused by short and refined text, fuzzy semantics and sparse features. We review the research progress of the social network sentiment analysis integrating social relationships, sort out and analyze the main methods, list the key issues, elaborate the research trends and prospect, and finally summarize them.

Key words: social relationship, social network, sentiment analysis