Research On The Construction And Application Of Ancient Social Portrait

In the field of digital humanities,the study of classical texts is a hot topic.The changes of social situation are reflected by the changes of vocabulary.Therefore,analyzing the context of vocabulary development can analyze the situation of social development.By analyzing data and using empirical models to verify the relevant research of humanists,distant reading can study the development of humanist literature from a macroscopic perspective.Analyze historical classics from the perspective of distant reading,and use visualization and other comprehensive technologies to help researchers quantify historical research.In this context,based on user portrait technology and digital remote reading technology,this study explores the construction methods of social portraits,then uses a variety of text mining techniques to extract features from different dimensions.Finally,takes the Spring and Autumn period as an example for empirical research.The construction and analysis of ancient social portraits can effectively extract relevant features from classic texts,so as to help researchers quickly obtain an overview of ancient society.It have certain significance and value to improving the rapid and effective analysis of large-scale texts.Based on the text data generated in the process of social development and the concept of user portrait,this study puts forward the construction method of social portrait through the analysis of social related evaluation indicators and relevant research literature.First of all,this study constructs the faceted structure of social portrait from the perspective of ancient social system and development.Using the text data of Spring and Autumn Zuo Zhuan Dictionary,Zuo Zhuan and Records of the Historian,according to the internal logical data of each development aspect,combined with machine learning,text mining technology and manual participation methods,to enrich the label elements,improve the label system of ancient social portraits,and finally realize the construction of the description framework of social portraits.Secondly,based on the construction of social portrait labeling system and text mining technology,this study proposes to represent the characteristics of ancient society by extracting feature labels from historical texts.Starting with the selection of ancient social corpus and the principles of candidate tag selection,this study improves the accuracy and effectiveness of social feature tag mining,and combines the performance ability of tag topics and the ancient social image tag system to form a new social feature vector to construct a social image.Finally,taking the texts of the historical books Zuo Zhuan and Records of the Historian(pre-Qin part)as examples,the text mining method is used to extract the social feature labels of the Spring and Autumn Period,and the social feature labels of the Spring and Autumn Period are used to construct social portraits of the Spring and Autumn Period based on historical facts.By analyzing the constructed social portraits in the Spring and Autumn Period from the dimension of social portraits and the dimension of feature correlation,it can be found that the portraits show the characteristics of the Spring and Autumn Period society and the main characteristics of each development facet,which are consistent with the relevant historical research conclusions.Therefore,the results show that the social portrait construction method proposed in this paper can use the social portrait based on historical facts to present social development in a panoramic view,provide support for in-depth interpretation of history,and has certain practical significance and value.