With the flourishing of social media, its diversification, high interactivity, and richness of content are becoming increasingly significant, which has a profound impact on people's communication modes and information acquisition channels. Sentiment analysis of massive and diverse social media text data has become an important tool for grasping users' emotional tendencies and attitudes accurately. This paper aims to comprehensively analyze the current situation of social media text sentiment analysis. It focuses on three classic analysis paths, analyzes the strengths and weakness of each approach respectively, and on this basis sorts out the research methods and achievements of each researchers. In addition, this paper also analyzes the limitations of the current social media text sentiment analysis, discusses in detail the challenges and opportunities of the practical application of these analysis methods, and looks forward to the future development trend. This paper aims to provide a certain theoretical foundation and practical guidance for future related research and promote the further development and optimization of sentiment analysis techniques in the field of social media, to play a more active role in understanding public sentiment, guiding marketing strategies, and monitoring social opinions.
Yahan Zhang (Mon,) studied this question.