Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]

Publication Type:
Journal Article
Citation:
IEEE Computational Intelligence Magazine, 2019, 14 (3), pp. 29 - 38
Issue Date:
2019-08-01
Filename Description Size
Final_Twitter_IEEE_CIM_Published.pdfPublished Version1.13 MB
Adobe PDF
Full metadata record
© 2019 IEEE. Once an event is detected, WDHG approach suppresses the bursty keywords at subsequent time intervals. This characteristic enables other related information to be more visible and helps in capturing new and emerging events.
Please use this identifier to cite or link to this item: