A Prerecognition Model for Hot Topic Discovery Based on Microblogging Data

The microblogging is prevailing since its easy and anonymous information sharing at Internet, which also brings the issue of dispersing negative topics, or even rumors. Many researchers have focused on how to find and trace emerging topics for analysis. When adopting topic detection and tracking tec...

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Main Authors: Tongyu Zhu, Jianjun Yu
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/360934
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author Tongyu Zhu
Jianjun Yu
author_facet Tongyu Zhu
Jianjun Yu
author_sort Tongyu Zhu
collection DOAJ
description The microblogging is prevailing since its easy and anonymous information sharing at Internet, which also brings the issue of dispersing negative topics, or even rumors. Many researchers have focused on how to find and trace emerging topics for analysis. When adopting topic detection and tracking techniques to find hot topics with streamed microblogging data, it will meet obstacles like streamed microblogging data clustering, topic hotness definition, and emerging hot topic discovery. This paper schemes a novel prerecognition model for hot topic discovery. In this model, the concepts of the topic life cycle, the hot velocity, and the hot acceleration are promoted to calculate the change of topic hotness, which aims to discover those emerging hot topics before they boost and break out. Our experiments show that this new model would help to discover potential hot topics efficiently and achieve considerable performance.
format Article
id doaj-art-e8a34c3ab8cd4068ac4425dc89d12b26
institution Kabale University
issn 2356-6140
1537-744X
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-e8a34c3ab8cd4068ac4425dc89d12b262025-02-03T06:14:19ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/360934360934A Prerecognition Model for Hot Topic Discovery Based on Microblogging DataTongyu Zhu0Jianjun Yu1State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, ChinaComputer Network Information Center, Chinese Academy of Sciences, Beijing 100190, ChinaThe microblogging is prevailing since its easy and anonymous information sharing at Internet, which also brings the issue of dispersing negative topics, or even rumors. Many researchers have focused on how to find and trace emerging topics for analysis. When adopting topic detection and tracking techniques to find hot topics with streamed microblogging data, it will meet obstacles like streamed microblogging data clustering, topic hotness definition, and emerging hot topic discovery. This paper schemes a novel prerecognition model for hot topic discovery. In this model, the concepts of the topic life cycle, the hot velocity, and the hot acceleration are promoted to calculate the change of topic hotness, which aims to discover those emerging hot topics before they boost and break out. Our experiments show that this new model would help to discover potential hot topics efficiently and achieve considerable performance.http://dx.doi.org/10.1155/2014/360934
spellingShingle Tongyu Zhu
Jianjun Yu
A Prerecognition Model for Hot Topic Discovery Based on Microblogging Data
The Scientific World Journal
title A Prerecognition Model for Hot Topic Discovery Based on Microblogging Data
title_full A Prerecognition Model for Hot Topic Discovery Based on Microblogging Data
title_fullStr A Prerecognition Model for Hot Topic Discovery Based on Microblogging Data
title_full_unstemmed A Prerecognition Model for Hot Topic Discovery Based on Microblogging Data
title_short A Prerecognition Model for Hot Topic Discovery Based on Microblogging Data
title_sort prerecognition model for hot topic discovery based on microblogging data
url http://dx.doi.org/10.1155/2014/360934
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AT jianjunyu aprerecognitionmodelforhottopicdiscoverybasedonmicrobloggingdata
AT tongyuzhu prerecognitionmodelforhottopicdiscoverybasedonmicrobloggingdata
AT jianjunyu prerecognitionmodelforhottopicdiscoverybasedonmicrobloggingdata