Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness
Various domain users are increasingly leveraging real-time social media data to gain rapid situational awareness. However, due to the high noise in the deluge of data, effectively determining semantically relevant information can be difficult, further complicated by the changing definition of releva...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 26(2020), 1 vom: 22. Jan., Seite 558-568
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| 1. Verfasser: |
Snyder, Luke S
(VerfasserIn) |
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| Weitere Verfasser: |
Lin, Yi-Shan,
Karimzadeh, Morteza,
Goldwasser, Dan,
Ebert, David S |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |
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