随着互联网和社交媒体的普及，网络舆情对社会层面的影响不容小觑，网络舆情情感分析更是重中之重。通过 收集、整理和归纳我国网络舆情情感研究的学术成果，采用文献计量学分析文献发表数量、高频关键词共现以及主题演进，再 遵循网络舆情情感研究过程，分析数据采集、数据处理、情感识别（分类/倾向性）以及情感演化方面的主要研究内容、思想和方 法。最后对该研究方向进行展望，以期为未来研究提供参考。

With the popularization of the internet and social media, the impact of network public opinion on the social level cannot be underestimated, and sentiment analysis in network public opinion is of utmost importance. This paper collects, organizes, and summarizes relevant literature on sentiment analysis in network public opinion research in China, adopting bibliometric methods to analyze the quantity of literature, co-occurrence of high-frequency keywords, and evolution of theme keywords. Following the pro‐ cess of sentiment analysis in network public opinion research, this study analyzes the main research content, ideas, and methods in data collection, data processing, sentiment recognition(classification/tendency),sentiment evolution. Finally, this study points out fu‐ ture research directions, and gives the working directions of next steps.