Spam filtering for short messages
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Cites methods from "Spam filtering for short messages"
...This corpus has been used in the following academic research efforts: [6], [7], and [14]....
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Cites background from "Spam filtering for short messages"
...While this survey confines itself to email spam, we note that the definitions above apply to any number of communication media, including text and voice messages [31, 45, 84], social networks [206], and blog comments [37, 123]....
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Cites background or methods from "Spam filtering for short messages"
...In the remaining of this section, we describe four methods, which produce feature representations that are used as input to machine learning algorithms: (1) the BoWs approach; (2) feature abstraction; (3) feature selection; and (4) Latent Dirichlet Allocation (LDA)....
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...Healy, Delany, and Zamolotskikh (2005), Hidalgo, Bringas, Sanz, and Garcıa (2006), and Cormack, Hidalgo, and Sanz (2007) have previously addressed the problem of identifying spam Proceedings of the 8th International ISCRAM Conference – Lisbon, Portugal, May 2011 2 short messages, by employing…...
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...The messages have been manually labeled into 10 categories: (1) medical emergency; (2) people trapped; (3) food shortage; (4) water shortage; (5) water sanitation; (6) shelter needed; (7) collapsed structure; (8) food distribution; (9) hospital/clinic services; and (10) person news....
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References
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