融合社会关系的社交网络情感分析综述

随着以用户为中心的Web 2.0的发展，社交网络平台以惊人的影响力渗入到生活的方方面面，对社交网络中的内容进行情感分析已经成为热点研究课题。Twitter、新浪微博等在线社交网站吸引了大量用户，通过用户间的交互，产生了许多包含用户间社会关系的信息，并且这些社会关系被广泛应用于社交网络的情感分析。融合社会关系的社交网络情感分析将用户间交互形成的社会关系应用到对用户发表在社交网络上内容的情感分析中，拟解决文本短小精炼、语义模糊、特征较为稀疏带来的情感分析准确率低的问题。对融合社会关系的社交网络情感分析研究进展进行综述，梳理、分析主要的方法，列举出其中的关键问题，最后阐述了研究趋势和展望，并进行了总结。

Survey of social network sentiment analysis integrating social relationships

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.