Discovery and segmentation method in micro-blog topics based on public emotional engagement analysis

To improve the discovery efficiency and quality of micro-blog topic,a method of rapid discovery and segmentation in micro-blog topics based on public emotional engagement analysis was proposed,it would prompt evolution of the topics,then generate new topics and gain emotional change trend.Firstly,co...

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Main Authors: Chunhua JU, Fuguang BAO, Junyan DAI
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-07-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016158/
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author Chunhua JU
Fuguang BAO
Junyan DAI
author_facet Chunhua JU
Fuguang BAO
Junyan DAI
author_sort Chunhua JU
collection DOAJ
description To improve the discovery efficiency and quality of micro-blog topic,a method of rapid discovery and segmentation in micro-blog topics based on public emotional engagement analysis was proposed,it would prompt evolution of the topics,then generate new topics and gain emotional change trend.Firstly,common emotional words were mined from corpus to build emotional thesaurus based on emotional word dictionary and TFDF.Then,emotional text was extracted quickly and sigmoid function was utilized to detect the intensive period of emotional engagement,ensuring the validity of topic mining.Besides,an improved adaptive FCM was used to cluster and discover topics.The experimental results show that this method can enhance the efficiency and quality of topic discovery in mobile environment.
format Article
id doaj-art-e719b45350174895a3aaf8773f9620a5
institution Kabale University
issn 1000-0801
language zho
publishDate 2016-07-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-e719b45350174895a3aaf8773f9620a52025-01-15T03:25:09ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-07-01329710559801079Discovery and segmentation method in micro-blog topics based on public emotional engagement analysisChunhua JUFuguang BAOJunyan DAITo improve the discovery efficiency and quality of micro-blog topic,a method of rapid discovery and segmentation in micro-blog topics based on public emotional engagement analysis was proposed,it would prompt evolution of the topics,then generate new topics and gain emotional change trend.Firstly,common emotional words were mined from corpus to build emotional thesaurus based on emotional word dictionary and TFDF.Then,emotional text was extracted quickly and sigmoid function was utilized to detect the intensive period of emotional engagement,ensuring the validity of topic mining.Besides,an improved adaptive FCM was used to cluster and discover topics.The experimental results show that this method can enhance the efficiency and quality of topic discovery in mobile environment.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016158/emotional wordmicro-blogtopic discoveryNE-FCM
spellingShingle Chunhua JU
Fuguang BAO
Junyan DAI
Discovery and segmentation method in micro-blog topics based on public emotional engagement analysis
Dianxin kexue
emotional word
micro-blog
topic discovery
NE-FCM
title Discovery and segmentation method in micro-blog topics based on public emotional engagement analysis
title_full Discovery and segmentation method in micro-blog topics based on public emotional engagement analysis
title_fullStr Discovery and segmentation method in micro-blog topics based on public emotional engagement analysis
title_full_unstemmed Discovery and segmentation method in micro-blog topics based on public emotional engagement analysis
title_short Discovery and segmentation method in micro-blog topics based on public emotional engagement analysis
title_sort discovery and segmentation method in micro blog topics based on public emotional engagement analysis
topic emotional word
micro-blog
topic discovery
NE-FCM
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016158/
work_keys_str_mv AT chunhuaju discoveryandsegmentationmethodinmicroblogtopicsbasedonpublicemotionalengagementanalysis
AT fuguangbao discoveryandsegmentationmethodinmicroblogtopicsbasedonpublicemotionalengagementanalysis
AT junyandai discoveryandsegmentationmethodinmicroblogtopicsbasedonpublicemotionalengagementanalysis