Research on Intelligent Sentiment Analysis and Theme Evolution of Personal Technology Blog

Accurately mining the emotional trends and theme evolution laws of social media and personal blogs will help understand blog dynamics from different angles. Simultaneously, it can predict the author's emotional tendency in real-time and sort out the research direction, which is of great significance to the perception of public opinion events. This paper proposes a sentiment analysis and topic evolution method for personal technology blogs. This method uses the emotional time series analysis method of fusion emotional dictionary to predict the emotional trend of bloggers. It explores blog creation by constructing a topic relationship map and topic evolution method based on Price's law. The research in this paper will provide direction for social media and technical blog text mining under the new situation. This method will help to understand blog dynamics from different angles, predict the author's emotional tendency in real-time, and sort out the research direction, which is very important for the perception of public opinion events. Moreover, provide corresponding suggestions for public opinion monitoring and topic analysis of social media.