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- W2969560285 abstract "With the advent of the web and the explosion of data sources such as opinion sites, blogs and microblogs appeared the need to analyze millions of posts, tweets or opinions in order to find out what thinks the net surfers. The idea was to produce a new algorithm inspired by the social life of Asian elephants to detect a person in depressive situation through the analysis of twitter social network. The proposal algorithm gives better performance compared to data mining and bioinspired techniques such as naive Bayes, decision tree, heart lungs algorithm, social cockroach's algorithm." @default.
- W2969560285 created "2019-08-29" @default.
- W2969560285 creator A5074447861 @default.
- W2969560285 date "2019-10-01" @default.
- W2969560285 modified "2023-09-25" @default.
- W2969560285 title "Depressive Person Detection using Social Asian Elephants' (SAE) Algorithm over Twitter Posts" @default.
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- W2969560285 doi "https://doi.org/10.4018/ijoci.2019100103" @default.
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