Title :
Mining Space-Time Elements of Opinion
Author :
Tianfang Yao ; Jun Liu ; Wei Qiu
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
This paper introduces a new opinion model using space-time elements. It proposes the concept of an Opinion Importance Factor which is composed of a Time Importance Factor and a Source Importance Factor. Based on that, it analyzes the characteristics of the Time Importance Factor in different applications and divides the Source Importance Factor into two parts, the influence of source and the relatedness between source and domain. The experimental results show that space-time elements are important, and taking account of them can expand the scope of application of opinion mining and achieve more convincing results.
Keywords :
Internet; data mining; text analysis; Web 2.0 technology revolution; opinion importance factor; opinion space-time element mining; source importance factor; text mining; time importance factor; Computer science; Data mining; Equations; Internet; Market research; Mathematical model; Search engines; opinion mining; source importance factor; space-time elements; text mining; time importance factor;
Conference_Titel :
Asian Language Processing (IALP), 2012 International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4673-6113-2
Electronic_ISBN :
978-0-7695-4886-9
DOI :
10.1109/IALP.2012.49
