Lin, J Hu, XH Chang, W Nambiar, R Aggarwal, C Cercone, N Honavar, V Huan, J Mobasher, B Pyne, S
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-4799-5666-1
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Buzzwords are the main embodiment of internet culture, which play an important role in public opinion analysis, social focus tracking and language evolution study. At present, questionnaire has been wildly used as a standard method to obtain network buzzwords, which is subjective and costly. In this paper, we will propose a novel algorithm relying on the time-distribution feature of words and a KL-divergence measure to estimate words' popularity so as to figure out buzzwords in a specific period. The time-distribution feature simply states the fact that buzzwords' usage has a sharp increase du...