The Design And Implementation Of Web Hot Topic Information Detection System

In recent years, Web site technology is developing rapidly, the Internet has revolutionized the face. Web site is now a greater emphasis on creative freedom and user participation, more and more Internet users in the next-generation Web platform to create a mass of interesting content. Increasingly rich Internet information resources make it difficult for users to find the information they are interested in the information in the vast sea of data. Thus, a variety of information retrieval and search engine technology has been widespread concern and great development.With the rapid development of the Internet, online media has become after newspapers, radio, television,"the fourth media". Due to the rapid network news possess openness, information dissemination and other characteristics, making it a hot main way of information dissemination, but also an important source of information hotspots. Therefore, how to automatically discover network resources from the huge current of hot events and entities have a very important significance.Information includes hot hot hot topics and words, is the object of significant events or people in the community occurring within a certain period of common concern; paper studies the existing topic detection and tracking, and automatic keyword extraction techniques, the use of these technologies information network to automatically discover hot news reports, design and implementation of information systems Web discovery hot self. Innovation content of this paper include:(1) Classification of news web crawling and text pre-processing operations;(2) for sparse high-dimensional vectors, we propose a sparse vector compression storage and similarity calculation method;(3) information hotspot automatic discovery; hotspot function information display.(4) Through the hot topics and hot words for statistical analysis, the ultimate way to showcase a variety of charts.