Research And Implementation Of News Incident Recognition System

With the rapid development of the Internet and the continuous improvement of the communication network bandwidth and speed, people gradually step into the self -media era. People gradually turn to friends circle, microblogging and major news APP instead of getting the news from the previous paper media, portals. Every news reader might be the creator and producer of news content. In this era of news under the wave of the times, followed by the surge in the number of news, the types of news and news content of the good and bad.The number of news,the type of news and the bad content of news are increasing because of the wave of new media. Therefore, both for the network managers, news distributors,or news readers need a convenient and quick means to get the new expression of the main events and corresponding areas, to determine whether you need to spend more time to manage and send or even to read the news. At the same time, artificial intelligence and depth learning methods gradually replace the traditional machine learning methods, in the field of image recognition, speech recognition and gradually domestic and foreign experts began to get involved in the field of natural language processing. Based on this, in the field of news search based on a user-recommended feed search methods gradually appear, and gradually replace the traditional search methods, users become the main means of access to news.Both the event and the field are the good labels for one news.In order to get the key elements of the news such as the field category and the event type of news on the network as soon as possible, this paper designs and implements a news event system, which is used to identify the event type, news field and news subject sentence.This paper, In order to achieve this system, completed the following work:Firstly, this paper investigates the research status of news events at home and abroad, and introduces the main technology and research results.Secondly, according to the demand of incident recognition in the system, this paper gives the definition of news event identified by system,and proposes a news event recognition method based on news subject sentence and convolution neural network.Next, analyze the system requirements briefly, and give the overall design of the system hierarchy and functional architecture based on the requirements analysis.Finally,describe the key function of the main function module of the system, the key algorithm of process design and the core code of the algorithm in detail,and show the operation interface of each module briefly.This paper focuses on the research of news event recognition method.In addition,the classifier uses the convolution neural network model to replace the traditional machine learning model. And the experimental results and the corresponding results are given.The the news event recognition system that researched and implement in this paper supports event identification, category identification, subject sentence recognition and background management of models, users and trigger words. At last ,this paper design experiments to test the main methods from accuracy rate,recall rate and F1 value. The results show that the system can achieve high recognition and classification accuracy and coverage.