Social media data for a city barbecue restaurant incident

The social media data of barbecue restaurant events in a city were crawled by crawling the crawler tool, using it as the data source, combining the topic model, sentiment analysis and triplet extraction methods to mine user opinions, and calculating the consensus degree between individuals based on the consistency of views and sentiments. The information ecology theory is used to extract the characteristic variables from the dimensions of information person, information and information environment, and the influencing factor model of consensus degree is constructed. The performance of the four machine Xi models was compared, and the optimal model was interpreted using SHAP.