Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation
Author:
Affiliation:
1. Nanyang Technological University & SAP Research Innovation Singapore, Singapore, Singapore
2. Nanyang Technological University, Singapore, Singapore
3. University of Queensland, Brisbane, Australia
4. Tencent AI Lab, Shenzhen, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3132847.3132968
Reference30 articles.
1. Hila Becker Dan Iter Mor Naaman and Luis Gravano. 2012. Identifying content for planned events across social media sites WSDM. 533--542. 10.1145/2124295.2124360 Hila Becker Dan Iter Mor Naaman and Luis Gravano. 2012. Identifying content for planned events across social media sites WSDM. 533--542. 10.1145/2124295.2124360
2. Hila Becker Mor Naaman and Luis Gravano. 2011. Beyond Trending Topics: Real-World Event Identification on Twitter ICWSM. Hila Becker Mor Naaman and Luis Gravano. 2011. Beyond Trending Topics: Real-World Event Identification on Twitter ICWSM.
3. Estimating topical volume in social media streams
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