Title :
An Identification Method of News Scientific Intelligence Based on TF-IDF
Author :
Lu Pan;Haibo Tang;Lei Zhou;Liuyang Wang;Quanyin Zhu
Author_Institution :
Fac. of Comput. Eng., Huaiyin Inst. of Technol., Huaiyin, China
Abstract :
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.
Keywords :
"Mathematical model","Text categorization","Computational modeling","Computers","Internet","Training","Speech recognition"
Conference_Titel :
Distributed Computing and Applications for Business Engineering and Science (DCABES), 2015 14th International Symposium on
DOI :
10.1109/DCABES.2015.131
