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
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;
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
DOI :
10.1109/IMCCC.2014.186