PUBLIC SENTIMENT CLUSTERING ANALYSIS METHOD FOR INTERNET NEWS, APPLICATION SERVER, AND COMPUTER-READABLE STORAGE MEDIUM

摘要

A public sentiment clustering analysis method for Internet news. The method comprises: acquiring news-type information from an information source by means of a distributed crawler, and storing same in a public sentiment database (S110); carrying out denoising, word segmentation and clustering on data in the public sentiment database (S120); respectively summarizing a topic digest for different types of clustered news (S130); and outputting the clustered news and the topic digest, and displaying same to a user (S140). Further provided are an application server and a computer readable storage medium. According to the public sentiment clustering analysis method for Internet news, the application server and the computer readable storage medium provided therein, news on a network can be obtained quickly, the acquired news is clustered to acquire hot news, and keywords and a digest can be automatically extracted from the acquired news, wherein same is more convenient, faster and more accurate compared with the prior art.