Title :
The research of internet public opinion´s tracking algorithm
Author :
Lu, Shan ; Yao, Cuiyou
Author_Institution :
Inf. Coll., Capital Univ. of Econ. & Bus., Beijing, China
Abstract :
This article describes the meaning of information about internet public opinion and the situation of study. It analyzes SVM, KNN and NB of the internet public opinion´s tracking algorithm.
Keywords :
Bayes methods; Internet; data mining; support vector machines; Internet public opinion tracking algorithm; KNN; NB; SVM; k-nearest neighbor; naive Bayes; support vector machine; Business; Conferences; Economics; Educational institutions; Internet; Niobium; Support vector machines; Internet public opinion; Text mining; Web Mining;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777601
