会议专题

An Identification Method of News Scientific Intelligence Based on TF-IDF

  With the development of Internet,the amount of Information has been rapidly growing which is spread widely.In order to improve the value and accuracy of science information that is pushed in this paper,an intelligence dichotomous method for science information categorization to identify science information from massive Web news is presents.During the experiment,85.3%recognition rate of the recognition non-tech news are realized and 82.9%accuracy rate,the results show that the method can effectively identify Web science information news and reduce the amount of independent news.

Scientific intelligence text categorization TF-IDF

Lu Pan Haibo Tang Lei Zhou Liuyang Wang Quanyin Zhu

Faculty of Computer Engineering Huaiyin Institute of Technology Huaian,Jiangsu Province,China

国际会议

The 14th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

贵阳

英文

501-504

2015-08-18(万方平台首次上网日期,不代表论文的发表时间)