Title :
Research on the Method of Opinion Mining Based on Danger Theory
Author :
Liu, Dan ; Ma, Shi-xia ; Guo, Zu-hua
Author_Institution :
Comput. Sci. & Technol. Dept., Henan Mechanic & Electr. Eng. Coll., Xinxiang, China
Abstract :
Kinds of text opinion on the Internet are very important to the development of companies, however, methods of opinion mining is very limited, because there always need to deal with many meaning analysis, so this paper presents a new method on opinion mining based on danger theory. Using this method, companies can make decision easier.
Keywords :
Internet; data mining; decision making; text analysis; Internet; danger theory; decision making; opinion mining; text opinion; Computer science; Computer science education; Data mining; Educational institutions; Educational technology; Electronic mail; Immune system; Internet; Signal generators; Text categorization; active evolution; danger signal; danger theory; opinion mining;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.352
