Multi-attribute spectral clustering emergency detection based on word correlation feature
For current methods for extracting emergencies had problems of low accuracy and low efficiency, an emergency detection method based on the characteristics of word correlation was proposed, which could quickly detect emergency events from the social network data stream, so that relevant decision make...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2020-12-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436X.2020215/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539306889412608 |
|---|---|
| author | Weijin JIANG Yang WANG Xiaoliang LIU Sijian LYU |
| author_facet | Weijin JIANG Yang WANG Xiaoliang LIU Sijian LYU |
| author_sort | Weijin JIANG |
| collection | DOAJ |
| description | For current methods for extracting emergencies had problems of low accuracy and low efficiency, an emergency detection method based on the characteristics of word correlation was proposed, which could quickly detect emergency events from the social network data stream, so that relevant decision makers could take timely and effective measures to deal with, making the negative impact of emergencies can be reduced as much as possible to maintain social stability.The simulation results show that the emergency event detection method has a better event detection effect in the real-time blog post data stream.Compared with the existing methods, the proposed method can meet the needs of emergency detection.Not only the detailed information of the sub-events can be detected, but also the related information of the events can be accurately detected. |
| format | Article |
| id | doaj-art-be101f16cfc24b4fabc6e83e19e85372 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-be101f16cfc24b4fabc6e83e19e853722025-01-14T07:21:24ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-12-014119320459739389Multi-attribute spectral clustering emergency detection based on word correlation featureWeijin JIANGYang WANGXiaoliang LIUSijian LYUFor current methods for extracting emergencies had problems of low accuracy and low efficiency, an emergency detection method based on the characteristics of word correlation was proposed, which could quickly detect emergency events from the social network data stream, so that relevant decision makers could take timely and effective measures to deal with, making the negative impact of emergencies can be reduced as much as possible to maintain social stability.The simulation results show that the emergency event detection method has a better event detection effect in the real-time blog post data stream.Compared with the existing methods, the proposed method can meet the needs of emergency detection.Not only the detailed information of the sub-events can be detected, but also the related information of the events can be accurately detected.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436X.2020215/emergencyword relationship graphmulti-attribute spectral clusteringdetection |
| spellingShingle | Weijin JIANG Yang WANG Xiaoliang LIU Sijian LYU Multi-attribute spectral clustering emergency detection based on word correlation feature Tongxin xuebao emergency word relationship graph multi-attribute spectral clustering detection |
| title | Multi-attribute spectral clustering emergency detection based on word correlation feature |
| title_full | Multi-attribute spectral clustering emergency detection based on word correlation feature |
| title_fullStr | Multi-attribute spectral clustering emergency detection based on word correlation feature |
| title_full_unstemmed | Multi-attribute spectral clustering emergency detection based on word correlation feature |
| title_short | Multi-attribute spectral clustering emergency detection based on word correlation feature |
| title_sort | multi attribute spectral clustering emergency detection based on word correlation feature |
| topic | emergency word relationship graph multi-attribute spectral clustering detection |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436X.2020215/ |
| work_keys_str_mv | AT weijinjiang multiattributespectralclusteringemergencydetectionbasedonwordcorrelationfeature AT yangwang multiattributespectralclusteringemergencydetectionbasedonwordcorrelationfeature AT xiaoliangliu multiattributespectralclusteringemergencydetectionbasedonwordcorrelationfeature AT sijianlyu multiattributespectralclusteringemergencydetectionbasedonwordcorrelationfeature |