Table 2 Semi-supervised learning approaches used for event detection
From: Real-time event detection in social media streams through semantic analysis of noisy terms
References | Data sources/ Features | Algorithms | Inclusion of local vocabulary | Treatment of Slang, Acronym, and Abbreviation (SAB) |
|---|---|---|---|---|
[37] | Twitter/Textual | TF-IDF, Naive Bayes | No | No |
[38] | Tumblr/Textual, Spatiotemporal | MapReduce, Pig | No | No |
[39] | Twitter/Textual, Spatiotemporal | ATSED | No | No |
[40] | Twitter/Textual, Spatiotemporal | Geometric Discretization, Administrative Hierarchies | No | No |
[41] | Twitter/ Textual | K-means, LDA, Hierarchical agglomerative | No | No |
[42] | Twitter/ Textual | Multinomial Naïve Bayes, Incremental DBSCAN | No | No |
[18] | Twitter/ Textual | ANN, AvgW2V, Mini-batch cluster | No | No |
[43] | Twitter/ Textual | Hierarchical Dirichlet Process | No | No |