News Hot Topic Discovery And Evolution Analysis Research And Application

Hot topics are those that are widely reported by network social medias and attract much attention from people.The research on the hot top i c discovery and evolution is beneficial to the public awareness of the current public opinion and the guidance of benign public opinion by Government.It can also prevent people from making social contradictions and seeking illegitimate interests through network.This paper mainly focuses on the discovery of news hot topics and the evolution process of hot topic,which mainly includes the following aspects:1.We use the word-weight model of TF-IDF and the LDA model of semantic understanding for news report based on LDA theme model.On the basis,we proposed a multi-core topic description model that can identify different core of attention under the same topic for the lack of traditional single-core topic description model.The model combine the division of clustering and hierarchical clustering method for precise clustering.Experiments show that the model can improve the clustering effect of news topic.2.According to the result of the analysis of hot topic characteristics,the news heat is quantified as the media coverage and the user's attention about the heat,We use the combination of the above two factors into the description of the heat.At the same time,the"topic index" is introduced,and the evolution process of hot topic life cycle is analyzed by segmented topic clustering method based on time window.Based on multi-core topic description model,a method of evolution analysis of topic evolution is proposed.The evolution process is regarded as the transfer process of the core event in the topic.Experiments show this method can well find out the evolution process of hot topics.3.Based on the above research results,we design and implement a hot news topic discovery and evolution analysis subsystem,which is an important function module of mobile news monitoring and analysis platform.The system integrates news gathering,news preprocessing,hot topic discovery and hot topic evolution analysis,which can discover hot topics and present them to users in real time.