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Analyzing mental disorders according to the social network data can guide us to gain new approaches to improve the public health of the whole society. To this aim, developing mental health feature extraction (MHFE) methods in a social network is essential and is now becoming an active research area. Therefore, in this paper, a review of existing techniques and methods in MHFE is presented, and a comprehensive framework is provided to classify these approaches. Furthermore, to analyze and evaluate each approach in extraction methods, an appropriate set of functional criteria is proposed, which leads to a more accurate understanding and correct use of them.<\/jats:p>","DOI":"10.3233\/idt-200097","type":"journal-article","created":{"date-parts":[[2021,9,7]],"date-time":"2021-09-07T11:09:33Z","timestamp":1631012973000},"page":"343-356","source":"Crossref","is-referenced-by-count":4,"title":["Analytical framework for mental health feature extraction methods in social networks"],"prefix":"10.1177","volume":"15","author":[{"given":"Nazila","family":"Taghvaei","sequence":"first","affiliation":[{"name":"Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Behrooz","family":"Masoumi","sequence":"additional","affiliation":[{"name":"Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Reza","family":"Keyvanpour","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Alzahra University, Vanak, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","reference":[{"key":"10.3233\/IDT-200097_ref1","unstructured":"Singh R. 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