DocumentCode
1779054
Title
The Research of Popular Topic Mining Method Based on Microblogging Text
Author
Wen Hao ; Li Zhao-Hui
Author_Institution
Sch. of Software Eng., Univ. of Post & Telecommun., Beijing, China
fYear
2014
fDate
18-20 Sept. 2014
Firstpage
888
Lastpage
892
Abstract
Nowadays, microblogging is becoming a part of people living in network. Because of the importance of popular topic mining, microblogging popular topic mining technology receive widely attention. This paper introduces a popular topic mining method based on microblogging. First of all, we pretreat microblogging content, such as remove noise words and stop words for word analysis in next stage. Next, we dig entity words, mark the noun which may be the topic entity. And then, we mine key word, make sure the verb or adjective which may be the topic´s keyword. Besides, we mine the popular topic, according to the entity words and keywords to mine the popular topic. Finally, we analyze time and amount of popular topic, according to related microblogging content amount change with time to make sure whether this topic is popular topic or not. Some practical experiments have shown the effectiveness and accuracy of our system.
Keywords
Internet; data mining; keyword mining; microblogging text; popular topic mining method; word analysis; Accuracy; Data mining; Electronic publishing; Encyclopedias; Internet; Libraries; information extraction; microblogging; popular topic;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4799-6574-8
Type
conf
DOI
10.1109/IMCCC.2014.186
Filename
6995156
Link To Document