Research on Red Cultural Inheritance and Application of SVM Support Vector Machine in Sentiment Analysis

To obtain the inheritance and development trend of red culture in cyberspace is of great value to deepen the “Internet +” red culture inheritance. This paper utilizes SVM as a text emotion classifier, and designs a multi-level SVM emotion classification model composed of RBF kernel function. Substituting into the development of red culture inheritance in the Internet space, according to the form of red culture inheritance and inheritance difficulties in the media era, the designed multi-level SVM sentiment classification model makes probability prediction of red culture inheritance tendency in the text of network comments. The performance of SVM classifier before and after optimization is evaluated using three evaluation indexes: accuracy, recall, and F-measure value. Crawl the Internet for comment text data and transform it into vectorized data using Word2Vec. Analyze the probability of red culture inheritance on the Internet using a hierarchical SVM sentiment tendency prediction model. From the high-frequency words of text sentiment classification of web comments, it can be seen that most Internet users show a high degree of concern for issues such as traditional festivals of red culture, and they want to participate in the construction of traditional festivals of red culture and pass on and transmit red culture.