Performance analysis of topic detection algorithms in distributed environment

Social network has become a way of life,therefore more and more people choose social network to express their views and feelings.Quickly find what people are talking about in big data gets more and more attention.And a lot of related methods of topic detection spring up in this situation.The perform...

Full description

Saved in:
Bibliographic Details
Main Authors: Lu DENG, Yan JIA, Binxing FANG, Bin ZHOU, Tao ZHANG, Xin LIU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018136/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539432733212672
author Lu DENG
Yan JIA
Binxing FANG
Bin ZHOU
Tao ZHANG
Xin LIU
author_facet Lu DENG
Yan JIA
Binxing FANG
Bin ZHOU
Tao ZHANG
Xin LIU
author_sort Lu DENG
collection DOAJ
description Social network has become a way of life,therefore more and more people choose social network to express their views and feelings.Quickly find what people are talking about in big data gets more and more attention.And a lot of related methods of topic detection spring up in this situation.The performance analysis project was proposed based on the characteristics of social network.According to the project,the performances of some typical topic detection algorithms were tested and compared in large-scale data of Sina Weibo.What’s more,the advantages and disadvantages of these algorithms were pointed out so as to provide references for later applications.
format Article
id doaj-art-7825252f88a74bc58b06df5a1fd3b310
institution Kabale University
issn 1000-436X
language zho
publishDate 2018-08-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-7825252f88a74bc58b06df5a1fd3b3102025-01-14T07:15:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-08-013917618459720260Performance analysis of topic detection algorithms in distributed environmentLu DENGYan JIABinxing FANGBin ZHOUTao ZHANGXin LIUSocial network has become a way of life,therefore more and more people choose social network to express their views and feelings.Quickly find what people are talking about in big data gets more and more attention.And a lot of related methods of topic detection spring up in this situation.The performance analysis project was proposed based on the characteristics of social network.According to the project,the performances of some typical topic detection algorithms were tested and compared in large-scale data of Sina Weibo.What’s more,the advantages and disadvantages of these algorithms were pointed out so as to provide references for later applications.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018136/topic detectiondistributed environmentsocial networkperformance analysis
spellingShingle Lu DENG
Yan JIA
Binxing FANG
Bin ZHOU
Tao ZHANG
Xin LIU
Performance analysis of topic detection algorithms in distributed environment
Tongxin xuebao
topic detection
distributed environment
social network
performance analysis
title Performance analysis of topic detection algorithms in distributed environment
title_full Performance analysis of topic detection algorithms in distributed environment
title_fullStr Performance analysis of topic detection algorithms in distributed environment
title_full_unstemmed Performance analysis of topic detection algorithms in distributed environment
title_short Performance analysis of topic detection algorithms in distributed environment
title_sort performance analysis of topic detection algorithms in distributed environment
topic topic detection
distributed environment
social network
performance analysis
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018136/
work_keys_str_mv AT ludeng performanceanalysisoftopicdetectionalgorithmsindistributedenvironment
AT yanjia performanceanalysisoftopicdetectionalgorithmsindistributedenvironment
AT binxingfang performanceanalysisoftopicdetectionalgorithmsindistributedenvironment
AT binzhou performanceanalysisoftopicdetectionalgorithmsindistributedenvironment
AT taozhang performanceanalysisoftopicdetectionalgorithmsindistributedenvironment
AT xinliu performanceanalysisoftopicdetectionalgorithmsindistributedenvironment