A Study On The Evolution Of “Double Carbon” News Topics Based On TDT Technology

Achieving the "double carbon" goal is an important decision for China,which concerns the systematic transformation of the country’s economy and society.Since September 2020,when General Secretary Xi Jinping proposed the goals of peak carbon dioxide emissions and carbon neutrality,the top-level design of the "double carbon" goal has been basically completed.Local governments have formulated a series of action plans to support the "double carbon" goal based on their local conditions and have achieved certain results,which have been made public through news platforms and other channels.As industry policies continue to be implemented,the development trend of the "double carbon" goal is becoming increasingly clear.A large amount of data on news websites includes information on the interpretation of "double carbon" policies,industry trends,and achievements in various stages.Analyzing these news texts is an effective way to understand the progress of China’s current "double carbon" goals.Therefore,using "double carbon" news release websites and related research institutions as data sources can help us grasp the development context and implementation of China’s "double carbon" goal timely and accurately.In this paper,based on the relevant techniques of topic discovery and tracking,we design a topic detection and tracking model for "double carbon" news.First,we use Kmeans and topic models to divide the existing multi-source "double carbon" news data into news clusters and identify the hot topics among them.We evaluate and optimize the topic discovery method from multiple angles,such as topic strength,topic correlation,and stability,by combining the model indicators with actual effects.Secondly,in order to expand the usability of the topic model,we design a tracking method for subsequent news reports,including two methods based on cosine similarity,Doc2 vec,and KNN.We compare and evaluate the tracking effects using the indicators of the classification algorithm and the real distribution of the sample based on the results of the existing topic model.Next,based on the completed topic model,we analyze the news topics and their evolution trends,and conclude that China is showing a trend towards using carbon peak and carbon neutrality as core indicators,reducing corporate emissions as the main action body,using carbon trading as a market tool,using the green financial system as an action booster,relying mainly on innovation in new energy,and using carbon inclusiveness and carbon sinks as important auxiliary means to address climate change and promote ecological civilization as the ultimate goal.In terms of evolution trends,we found that before the "double carbon" goal was proposed,China mainly focused on single energy technology innovation,but now it is moving towards the direction of using multiple advanced methods such as internet empowerment,green financial system support,carbon market,and carbon inclusiveness policies.As the "double carbon" policy system gradually improves,it may continue to deepen towards regionalization and diversification of means in the future.