Research On And Implementation Of Event Organization And Summarization Technology Based On Timeline

In the Internet era of information explosion, news information is convenient, and update speed is faster and faster. When an important event occurs, a large number of news reports and follow-up reports will emerge. To the user, how to find events of interest and can quickly understand the information contained in the event has become urgent to solve. Events generally change over time, which contains a number of stages of development, and find out the development venation of the event to help users quickly understand the history of the matter. In this thesis, do a research of finding out the development venation of important events and displaying event information. And propose a timeline-based events organization and summarization technology. The works are the following:Firstly, I propose a timeline-based event organization algorithm. Use keywords provided by the user interested in retrieving the news, through the clustering algorithm to find out the important news events, and find out the development venation of the event through the distribution of news reports based on the timeline. The timeliness of news to ensures that when there is a significant development, often intensive follow-up reports will appear, then news reports on the timeline of events aggregated distribution would represent a significant stage of development. By order of the timeline to organize these stages of development, and build the development venation of the event.Secondly, propose a timeline based event summarization algorithm. The algorithm takes into account the development of events over time-line characteristics of each stage of development must generate a separate summary. Proposed a model of historical content filter, and comprehensive undirected sentence graph model and important sentence model to score each sentence. Since the importance of each stage of development is not the same, according to an important degree select the appropriate number of news for each stage. A summary of each stage in order by time construct the event summary. Design and implement the prototype system of the timeline based event organization and summarization. Using Reuters's data set in English to do experiments. Experimental results show that both algorithms achieve good results.