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) |
---|---|---|---|---|
[45] | Twitter/Textual, Spatial | Variable Dimensional Extendible Hash | No | No |
[46] | Twitter/Textual | Association Rule Mining | No | No |
[44] | Twitter/Textual, Geo-spatial | Naïve Bayes, Multilayer perceptron, and Prune C4.5 | No | No |
[47] | Twitter/Textual | Streaming Non-negative Matrix | No | No |
[48] | Twitter/Textual | Soft Frequent Pattern Mining | No | No |
[49] | Flickr, Instagram/ Multimodal | TF-IDF, SVM | No | No |
[50] | Video/Multimedia | RNN, LSTM | No | No |
[51] | Video/Multimedia | CNN, Smoothing technique | No | No |
[52] | Weibo/Textual | TextRank, SVM | No | No |
[53] | Twitter/Textual | Deep Belief Network, LSTM | No | No |
[54] | Facebook/Textual | Word2Vec, Random Forest, Gated Recurrent Unit, LSTM | No | No |