Online public opinion emergency automatic identification method based on emotion information extraction and analysis

The invention provides a network public opinion emergency automatic identification method based on emotion information extraction and analysis. The method comprises the steps of obtaining massive social media data according to a social media collection method, and performing data preprocessing such as data filtering and cleaning; training an emotion model according to the historical social media data to form an emotion recognition model; detecting and analyzing sudden emotions in the social media according to the emotion recognition model; extracting social media tags corresponding to the sudden emotions, and recognizing event original keywords of the tags corresponding to the sudden emotions through word segmentation processing to form an event original keyword library; and extracting social media event keywords, matching the social media event keywords with the keyword library, and when the keywords are completely matched and the emotion state is not negative, obtaining correspondingevent basic information