Subramani et al., 2018
| Publication | Publication Date | Title |
|---|---|---|
| Chen et al. | A bibliometric analysis of event detection in social media | |
| Jordan et al. | Using Twitter for public health surveillance from monitoring and prediction to public response | |
| Hasan et al. | A survey on real-time event detection from the Twitter data stream | |
| Byrd et al. | Mining Twitter data for influenza detection and surveillance | |
| Rosa et al. | Event detection system based on user behavior changes in online social networks: Case of the covid-19 pandemic | |
| US9262438B2 (en) | Geotagging unstructured text | |
| Singh et al. | Event detection from real-time twitter streaming data using community detection algorithm | |
| Lamsal et al. | Socially enhanced situation awareness from microblogs using artificial intelligence: A survey | |
| Hu et al. | An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning | |
| Wijeratne et al. | Feature engineering for Twitter-based applications | |
| Jayawardhana et al. | An ontology-based framework for extracting spatio-temporal influenza data using Twitter | |
| Demirbaga | HTwitt: a hadoop-based platform for analysis and visualization of streaming Twitter data | |
| Kokkinogenis et al. | Mobility network evaluation in the user perspective: Real-time sensing of traffic information in twitter messages | |
| Alessa et al. | Tweet classification using sentiment analysis features and TF-IDF weighting for improved flu trend detection | |
| Alsaedi et al. | A combined classification-clustering framework for identifying disruptive events | |
| Liu et al. | Public opinion analysis on novel coronavirus pneumonia and interaction with event evolution in real world | |
| Chang et al. | Improving recency ranking using twitter data | |
| Subramani et al. | Text mining and real-time analytics of twitter data: A case study of australian hay fever prediction | |
| Ma et al. | Surveying the use of social media data and natural language processing techniques to investigate natural disasters | |
| Afyouni et al. | E-ware: a big data system for the incremental discovery of spatio-temporal events from microblogs | |
| Zhao et al. | Online spatial event forecasting in microblogs | |
| Hu et al. | ||
| Yoo et al. | Real-time disease detection and analysis system using social media contents | |
| Şahin et al. | Emergency detection and evacuation planning using social media | |
| Arianto et al. | Mining unstructured data in social media for natural disaster management in indonesia |