Weibo Emotional Dynamic Analysis Code Dataset

This study analyzes the dynamic evolution patterns of emotional states based on 207 Weibo posts using computational linguistics methods. The research encompasses a complete pipeline including data collection, text cleaning, sentiment analysis, co-occurrence network construction, and Markov chain modeling. The dataset contains comprehensive R code implementations, processed sentiment-annotated data, co-occurrence network matrices, transition probability matrices, and visualization results, providing a reproducible computational framework for social media emotion dynamics research.