{"id":681,"date":"2016-08-25T14:51:08","date_gmt":"2016-08-25T11:51:08","guid":{"rendered":"https:\/\/egegen.com\/blog\/?p=681"},"modified":"2017-03-13T13:49:24","modified_gmt":"2017-03-13T10:49:24","slug":"instagram-fotograflarina-gore-depresyon-analizi-yapan-algoritma-gelistirildi","status":"publish","type":"post","link":"https:\/\/egegen.com\/blog\/instagram-fotograflarina-gore-depresyon-analizi-yapan-algoritma-gelistirildi\/","title":{"rendered":"Instagram Foto\u011fraflar\u0131na G\u00f6re Depresyon Analizi Yapan Algoritma Geli\u015ftirildi"},"content":{"rendered":"<p>Renklerin duygu durumlar\u0131 ile aras\u0131ndaki ili\u015fki art\u0131k bilinen bir ger\u00e7ek. \u00d6rne\u011fin daha parlak renkler pozitif duygu hallerini yans\u0131t\u0131rken; gri ve n\u00f6tr renkler de negatif duygular\u0131 yans\u0131t\u0131yor. Bu ili\u015fkiden hareketle kollar\u0131n\u0131 s\u0131vayan ara\u015ft\u0131rmac\u0131lar ise Instagram foto\u011fraflar\u0131na g\u00f6re depresyon analizi yapan yeni bir algoritma geli\u015ftirdi.<\/p>\n<p>&nbsp;<\/p>\n<p>Harvard \u00dcniversitesi\u2019nden Andrew Reece ve Vermont \u00dcniversitesi\u2019nden Chris Danforth isimli iki ara\u015ft\u0131rmac\u0131, renkleri ve foto\u011fraflar\u0131n ard\u0131ndaki di\u011fer detaylar\u0131 analiz ederek Instagram kullan\u0131c\u0131lar\u0131n\u0131n depresyon seviyelerini \u00f6l\u00e7en bir sistem geli\u015ftirdi.<\/p>\n<p>&nbsp;<\/p>\n<p>Amazon\u2019un Mechanical Turk servisinde \u00e7al\u0131\u015fan 500 Instagram kullan\u0131c\u0131s\u0131n\u0131n dahil oldu\u011fu ara\u015ft\u0131rmada, kat\u0131l\u0131mc\u0131lara depresyon durumlar\u0131yla ilgili \u00e7e\u015fitli anketleri doldurmalar\u0131 istendi. Ard\u0131ndan ara\u015ft\u0131rman\u0131n daha ileri seviyelere ula\u015fabilmesi i\u00e7in kulland\u0131klar\u0131 Instagram hesaplar\u0131n\u0131 payla\u015fmalar\u0131 istendi. Sonras\u0131nda ise 70\u2019si sonradan olmak \u00fczere 170 kat\u0131l\u0131mc\u0131n\u0131n depresyonda oldu\u011fu sonucuna ula\u015f\u0131ld\u0131.<\/p>\n<p>&nbsp;<\/p>\n<p>Kat\u0131l\u0131mc\u0131lar\u0131n Instagram hesaplar\u0131n\u0131 inceleyen ara\u015ft\u0131rmac\u0131lar, toplamda 40,000 foto\u011fraf\u0131 analiz etti. Herhangi bir depresyon sorunu olmayan sa\u011fl\u0131kl\u0131 kat\u0131l\u0131mc\u0131lar\u0131n son payla\u015ft\u0131\u011f\u0131 100 Instagram foto\u011fraf\u0131n\u0131; depresyonda olan kat\u0131l\u0131mc\u0131lar\u0131n ise depresyona girmeden \u00f6nce payla\u015fm\u0131\u015f oldu\u011fu 100 foto\u011fraf\u0131 detayl\u0131 olarak inceledi. Sonras\u0131nda ise bu foto\u011fraflar\u0131 kat\u0131l\u0131mc\u0131lara g\u00f6stererek ilgi \u00e7ekicilik, be\u011fenilebilirlik ve mutluluk kriterlerine g\u00f6re 0\u2019dan 5\u2019e kadar puanlamalar\u0131 istendi. Ek olarak foto\u011fraflardaki renk doygunlu\u011fu, parlakl\u0131k, kontrast gibi metrikler de ara\u015ft\u0131rmaya dahil edildi.<\/p>\n<p>&nbsp;<\/p>\n<p>Ara\u015ft\u0131rmac\u0131lar, ayr\u0131ca foto\u011fraflardaki ki\u015filerin y\u00fczlerini tan\u0131yabilmek ad\u0131na bir y\u00fcz tan\u0131ma yaz\u0131l\u0131m\u0131 da kulland\u0131. Bunlar da ald\u0131\u011f\u0131 etkile\u015fimler (be\u011fenme, yorum vs) ile ili\u015fkilendirildi.<\/p>\n<p>Ara\u015ft\u0131rman\u0131n sonucunda ise depresyonda olan ki\u015filerin mavi, gri ve genel olarak daha koyu renklerin yo\u011funlukta oldu\u011fu foto\u011fraflar payla\u015ft\u0131\u011f\u0131 ortaya \u00e7\u0131kt\u0131. Ayr\u0131ca bu kullan\u0131c\u0131lar\u0131n di\u011ferlerine g\u00f6re \u00e7ok daha az be\u011feni ve yorum almas\u0131 da ara\u015ft\u0131rman\u0131n dikkat \u00e7eken bir di\u011fer sonucu oldu.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Depresyonda olan kullan\u0131c\u0131lar\u0131n en \u00e7ok kulland\u0131\u011f\u0131 filtre: \u201cInkwell\u201d<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Yap\u0131lan ara\u015ft\u0131rmada Instagram filtrelerinde de farkl\u0131l\u0131k g\u00f6zlendi\u011fini belirtmek gerekiyor. \u00d6yle ki depresyonda olan kullan\u0131c\u0131lar orant\u0131s\u0131z bir \u015fekilde foto\u011fraflar\u0131 siyah-beyaz yapan \u201cInkwell\u201d filtresini kullan\u0131rken; sa\u011fl\u0131kl\u0131 olan kullan\u0131c\u0131lar\u0131n ise foto\u011fraflar\u0131 daha parlak hale getiren \u201cValencia\u201d filtresini kulland\u0131\u011f\u0131 belirtiliyor.<\/p>\n<p>&nbsp;<\/p>\n<p>Son olarak depresyonda olan Instagram kullan\u0131c\u0131lar\u0131n\u0131n sa\u011fl\u0131kl\u0131 kullan\u0131c\u0131lara g\u00f6re \u00e7ok daha fazla foto\u011fraf payla\u015f\u0131m\u0131 yapt\u0131\u011f\u0131 da ara\u015ft\u0131rman\u0131n bir di\u011fer sonu\u00e7lar\u0131 aras\u0131nda yer al\u0131yor. Ancak bu foto\u011fraflar di\u011fer kullan\u0131c\u0131lar\u0131n payla\u015ft\u0131\u011f\u0131 foto\u011fraflara g\u00f6re daha az \u201cy\u00fcz\u201d i\u00e7eriyor.<\/p>\n<p>&nbsp;<\/p>\n<p>Geli\u015ftirilen algoritma ayr\u0131ca %70 do\u011fruluk oran\u0131na da sahip. Bu da ilgili algoritman\u0131n di\u011fer ba\u011f\u0131ms\u0131z anketler ve sa\u011fl\u0131k uzmanlar\u0131n\u0131n yapt\u0131\u011f\u0131 ara\u015ft\u0131rmalara g\u00f6re \u00e7ok daha do\u011fru sonu\u00e7lar verdi\u011fini bizlere g\u00f6steriyor.<\/p>\n<p>&nbsp;<\/p>\n<p>Kaynak: Webmasto<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Renklerin duygu durumlar\u0131 ile aras\u0131ndaki ili\u015fki art\u0131k bilinen bir ger\u00e7ek. \u00d6rne\u011fin daha parlak renkler pozitif duygu hallerini yans\u0131t\u0131rken; gri ve n\u00f6tr renkler de negatif duygular\u0131 yans\u0131t\u0131yor. Bu ili\u015fkiden hareketle kollar\u0131n\u0131 s\u0131vayan ara\u015ft\u0131rmac\u0131lar ise Instagram foto\u011fraflar\u0131na g\u00f6re depresyon analizi yapan yeni bir algoritma geli\u015ftirdi. &nbsp; Harvard \u00dcniversitesi\u2019nden Andrew Reece ve Vermont \u00dcniversitesi\u2019nden Chris Danforth isimli iki &hellip;<\/p>\n","protected":false},"author":1,"featured_media":682,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[172],"tags":[],"_links":{"self":[{"href":"https:\/\/egegen.com\/blog\/wp-json\/wp\/v2\/posts\/681"}],"collection":[{"href":"https:\/\/egegen.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/egegen.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/egegen.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/egegen.com\/blog\/wp-json\/wp\/v2\/comments?post=681"}],"version-history":[{"count":0,"href":"https:\/\/egegen.com\/blog\/wp-json\/wp\/v2\/posts\/681\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/egegen.com\/blog\/wp-json\/wp\/v2\/media\/682"}],"wp:attachment":[{"href":"https:\/\/egegen.com\/blog\/wp-json\/wp\/v2\/media?parent=681"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/egegen.com\/blog\/wp-json\/wp\/v2\/categories?post=681"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/egegen.com\/blog\/wp-json\/wp\/v2\/tags?post=681"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}