Time-Varying Dynamic Topic Model: A Better Tool for Mining Microblogs at a Global Level

نویسندگان

  • Jun Han
  • Yu Huang
  • Kuldeep Kumar
  • Sukanto Bhattacharya
چکیده

Inthispapertheauthorsbuildonpriorliteraturetodevelopanadaptiveandtime-varyingmetadataenableddynamictopicmodel(mDTM)andapplyittoalargeWeibodatasetusinganonlineGibbs samplerforparameterestimation.Theirapproachsimultaneouslycapturesthemaximumnumberof inherentdynamicfeaturesofmicroblogstherebysettingitapartfromotheronlinedocumentmining methodsintheextantliterature.Insummary,theauthors’resultsshowabetterperformanceofmDTM intermsofthequalityoftheminedinformationcomparedtopriorresearchandshowcasesmDTMas apromisingtoolfortheeffectiveminingofmicroblogsinarapidlychangingglobalinformationspace. KeywoRDS Dynamic Topic Models, Gibbs Sampler, LDA, Metadata, Microblogs, Microposts, Perplexity Measure, Text Mining

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

MB-ToT: An Effective Model for Topic Mining in Microblogs

Topic mining on microblogging sites with sheer scale of instance messages and social network information, such as Twitter, is a hard and challenging problem. Although many text mining techniques and generative probabilistic models have been developed for static plain-text corpus, they are inclined to achieve unsatisfactory results in microblogs without considering that microblogs are temporally...

متن کامل

Adaptive fuzzy pole placement for stabilization of non-linear systems

A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...

متن کامل

Mining the Personal Interests of Microbloggers via Exploiting Wikipedia Knowledge

This paper focuses on an emerging research topic about mining microbloggers’ personalized interest tags from their own microblogs ever posted. It based on an intuition that microblogs indicate the daily interests and concerns of microblogs. Previous studies regarded the microblogs posted by one microblogger as a whole document and adopted traditional keyword extraction approaches to select high...

متن کامل

Iterative learning identification and control for dynamic systems described by NARMAX model

A new iterative learning controller is proposed for a general unknown discrete time-varying nonlinear non-affine system represented by NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model. The proposed controller is composed of an iterative learning neural identifier and an iterative learning controller. Iterative learning control and iterative learning identification ar...

متن کامل

Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach

With the rapid growth of social media, massive misinformation is also spreading widely on social media, such as microblog, and bring negative effects to human life. Nowadays, automatic misinformation identification has drawn attention from academic and industrial communities. For an event on social media usually consists of multiple microblogs, current methods are mainly based on global statist...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • JGIM

دوره 26  شماره 

صفحات  -

تاریخ انتشار 2018