Journal article
Event detection on microposts: a comparison of four approaches
- Abstract:
-
Microblogging services such as Twitter are important, up-to-date, and live sources of information on a multitude of topics and events. An increasing number of systems use such services to detect and analyze events in real-time as they unfold. In this context, we recently proposed ArmaTweet-a system developed in collaboration among armasuisse and the Universities of Oxford and Fribourg to support semantic event detection on Twitter streams. Our experiments have shown that ArmaTweet is successf...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- IEEE Transactions on Knowledge and Data Engineering Journal website
- Volume:
- 33
- Issue:
- 4
- Pages:
- 1467-1478
- Publication date:
- 2019-10-01
- Acceptance date:
- 2019-09-15
- DOI:
- EISSN:
-
1558-2191
- ISSN:
-
1041-4347
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:1053991
- UUID:
-
uuid:a13354f8-88da-442c-8d26-3f7815f838c5
- Local pid:
- pubs:1053991
- Source identifiers:
-
1053991
- Deposit date:
- 2019-09-18
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2019
- Rights statement:
- © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/TKDE.2019.2944815
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