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Table 3 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)

[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