{"id":2857,"date":"2021-12-22T18:25:10","date_gmt":"2021-12-22T12:55:10","guid":{"rendered":"https:\/\/www.datalabelify.com\/?p=2857"},"modified":"2023-11-02T20:02:28","modified_gmt":"2023-11-02T14:32:28","slug":"customer-sentiment-analysis","status":"publish","type":"post","link":"https:\/\/www.datalabelify.com\/tr\/musteri-duyarlilik-analizi\/","title":{"rendered":"M\u00fc\u015fteri Duyarl\u0131l\u0131\u011f\u0131 Analizi: B\u00fcy\u00fck Veri E-Ticaret yapbozunun eksik par\u00e7as\u0131"},"content":{"rendered":"<h5>M\u00fc\u015fteri Duyarl\u0131l\u0131\u011f\u0131 Analizi: B\u00fcy\u00fck Verinin eksik par\u00e7as\u0131<a href=\"https:\/\/www.tesladigitalhq.com\/\" target=\"_blank\" rel=\"noopener\"> E-Ticaret<\/a> bulmaca<\/h5>\n<p>T\u00fcketici markas\u0131n\u0131n ba\u015far\u0131s\u0131 i\u00e7in m\u00fc\u015fteri g\u00f6r\u00fc\u015f\u00fc hayati \u00f6neme sahiptir. S\u00f6ylenenlerin ger\u00e7ek tonunu bulmak i\u00e7in olumlu ve olumsuzun \u00f6tesine ge\u00e7in.<\/p>\n<p>Uzmanlar, e-ticaret \u015firketlerinin, e-postalar, sohbetler, sosyal medya g\u00f6nderileri, metinler ve daha fazlas\u0131 gibi ayr\u0131\u015ft\u0131r\u0131lmas\u0131 zor verilerde bulunan istihbarattan yararlanamamalar\u0131 nedeniyle y\u0131lda 10 milyar dolar de\u011ferinde gelir kaybetti\u011fini tahmin ediyor.<\/p>\n<p>Ancak bilin\u00e7li \u015firketler, m\u00fc\u015fteri ihtiya\u00e7lar\u0131n\u0131 belirlemek ve davran\u0131\u015flar\u0131n\u0131 tahmin etmek i\u00e7in verileri ay\u0131klama ihtiyac\u0131n\u0131 rekabet avantaj\u0131 olarak benimsiyor.<\/p>\n<p>&quot;Bilgi i\u00e7inde bo\u011fuluyoruz ama bilgiye a\u00e7 kal\u0131yoruz.&quot; - John Naisbitt, The New York Times \u00e7oksatan yazar\u0131<\/p>\n<p>&nbsp;<\/p>\n<p>Bir \u015firket \u00fcr\u00fcnlerini satmak i\u00e7in \u00e7evrimi\u00e7i rotay\u0131 se\u00e7ti\u011finde, \u0130nternet&#039;in en b\u00fcy\u00fck do\u011frudan, an\u0131nda ve s\u00fcslenmemi\u015f pazar geliri kayna\u011f\u0131 oldu\u011funu bilir. E-ticaret ma\u011fazas\u0131 kurulduktan sonra, onu m\u00fckemmel bir \u015fekilde tamamlayacak \u015fekilde, olas\u0131 t\u00fcm kanallardan potansiyel m\u00fc\u015fterilere ula\u015fmak i\u00e7in Facebook, Twitter, Pinterest ve bir Blog kurar.<\/p>\n<p>Sat\u0131\u015flar artar ve hayaller b\u00fcy\u00fcr\u2026 ancak\u2026 bir \u00fcr\u00fcnle ilgili k\u00fc\u00e7\u00fck bir k\u00f6t\u00fc inceleme, takip\u00e7ilerin b\u00fcy\u00fck bir k\u0131sm\u0131n\u0131 tehlikeye atabilir; Kanamaya ba\u015flayan k\u00fc\u00e7\u00fck bir s\u0131yr\u0131k ve insan ne oldu\u011funu anlamadan k\u00f6t\u00fc bir yaraya d\u00f6n\u00fc\u015f\u00fcyor.<\/p>\n<p>Sosyal Paradigma<br \/>\nHer g\u00fcn milyonlarca \u00e7evrimi\u00e7i kullan\u0131c\u0131, \u00e7e\u015fitli kanallarda duygu ve tutumlar\u0131n\u0131 ifade etmek i\u00e7in \u00fcr\u00fcn \u00f6zellikleri, faydalar\u0131 ve \u00fcr\u00fcnlerin de\u011feri hakk\u0131ndaki g\u00f6r\u00fc\u015flerini yay\u0131nl\u0131yor. Ustal\u0131kla olu\u015fturulan bu &#039;g\u00f6r\u00fc\u015f&#039; veya &#039;duygu verileri&#039; genellikle m\u00fc\u015fteri deneyimlerini, \u00fcr\u00fcnlerini veya hizmetlerini geli\u015ftirmek isteyen i\u015fletmeler i\u00e7in paha bi\u00e7ilmez olabilecek hayati veri noktalar\u0131n\u0131 i\u00e7erir.<\/p>\n<p>E-Ticaret sekt\u00f6r\u00fc, sosyal medya reklamlar\u0131n\u0131 ilerlemenin ayr\u0131lmaz bir parametresi olarak g\u00f6rmektedir; \u00e7\u00fcnk\u00fc ziyaret\u00e7ilerin portalda iyi bir zaman ge\u00e7irmesini, be\u011fendikleri \u00fcr\u00fcnleri aramas\u0131n\u0131, sosyal medyada sat\u0131n alma ve sat\u0131n al\u0131nan \u00fcr\u00fcnleri olumlu bir \u015fekilde incelemesini ve siteye geri d\u00f6nmesini sa\u011flamaktad\u0131r. gelecekteki sat\u0131n almalar i\u00e7in portal.<\/p>\n<p>Sosyal veriler ayn\u0131 zamanda her \u00fcr\u00fcn sat\u0131n al\u0131m\u0131nda do\u011fru demografik, psikografik ve ya\u015fam tarz\u0131 grubundaki m\u00fc\u015fterilerin belirlenmesinde, daha bilin\u00e7li kararlar al\u0131nmas\u0131nda ve markalar\u0131n tan\u0131t\u0131lmas\u0131nda da faydal\u0131d\u0131r.<\/p>\n<h3>Duyarl\u0131l\u0131k Analizi tam olarak nedir?<\/h3>\n<p>Google duygu analizini \u201c\u00f6zellikle yazar\u0131n belirli bir konuya, \u00fcr\u00fcne vs. kar\u015f\u0131 tutumunun olumlu, olumsuz veya tarafs\u0131z olup olmad\u0131\u011f\u0131n\u0131 belirlemek amac\u0131yla, bir metin par\u00e7as\u0131nda ifade edilen d\u00fc\u015f\u00fcnceleri bilgisayarl\u0131 olarak tan\u0131mlama ve kategorize etme s\u00fcreci\u201d olarak tan\u0131ml\u0131yor.<\/p>\n<p>Bu, insanlar\u0131n \u00e7evrimi\u00e7i diyalog al\u0131\u015fveri\u015finde bulundu\u011fu ve bunlar\u0131 olumlu, olumsuz veya tarafs\u0131z olarak etiketledi\u011fi d\u00fc\u015f\u00fcnceli ifadelerin veya metinlerin incelenmesini i\u00e7erdi\u011fi anlam\u0131na gelir. Olgusal bilgilerin aksine g\u00f6r\u00fc\u015f ve duygular\u0131n \u00f6nemli bir \u00f6zelli\u011fi vard\u0131r; bunlar \u00f6zneldir ve bu nedenle daha fazla say\u0131da incelenmeleri gerekir.<\/p>\n<ul>\n<li>\u00d6rne\u011fin: Bir tweet d\u00fc\u015f\u00fcn\u00fcn: &quot;iPhone 6 bundan daha iyi olamaz&quot;<\/li>\n<li>Polarite: Pozitif<\/li>\n<li>Uygunluk: 63.77%<\/li>\n<li>Frekans: 42 033<\/li>\n<li>Mesajlar: 35 896<\/li>\n<\/ul>\n<p>Semantik analizle desteklenen ki\u015filer, yerler, nesneler ve markalarla etiketlenen ger\u00e7ek hayattaki duygular\u0131 tan\u0131mlayabilirsiniz. Burada \u201c\u00e7ok\u201d, \u201cdaha iyi\u201d, \u201canlayam\u0131yorum\u201d s\u00f6zc\u00fckleri olumlu duyguyu g\u00fc\u00e7lendiriyor.<\/p>\n<p>Duyarl\u0131l\u0131k verileriyle e-ticaret ba\u015far\u0131s\u0131n\u0131n zorlu\u011fu, eyleme ge\u00e7irilebilir i\u00e7g\u00f6r\u00fcler i\u00e7in geni\u015f yap\u0131land\u0131r\u0131lmam\u0131\u015f sosyal veri depolar\u0131n\u0131 ara\u015ft\u0131rma yetene\u011finde yatmaktad\u0131r; bu ger\u00e7ekten zorlu bir g\u00f6revdir ve geli\u015fmi\u015f NLP (Do\u011fal Dil \u0130\u015fleme), istatistikler veya makine \u00f6\u011frenimi y\u00f6ntemleri gerektirir. Duygu de\u011ferini karakterize edin ve yakalay\u0131n.<\/p>\n<p>Bu ba\u011flamda, dilsel i\u015flevler, arama sonu\u00e7lar\u0131n\u0131n kalitesini anlaml\u0131 bir \u015fekilde art\u0131rmak i\u00e7in herhangi bir b\u00fcy\u00fck e-ticaret arama motorundaki mevcut i\u015f ak\u0131\u015flar\u0131n\u0131n ve \u00fcr\u00fcn \u00f6nerilerinin (\u00f6nerilerin) bir par\u00e7as\u0131 haline gelir ve onlar\u0131 tamamlar.<\/p>\n<p>A\u015fa\u011f\u0131da i\u015fletmelerin duyarl\u0131l\u0131k analizi verilerinde nas\u0131l de\u011fer bulabilece\u011fine bir bak\u0131\u015f yer almaktad\u0131r.<\/p>\n<p><strong>Geli\u015fmi\u015f M\u00fc\u015fteri Deneyimi<\/strong><br \/>\nGeri d\u00f6nen m\u00fc\u015fteriler, sat\u0131n alma yolculu\u011fu boyunca kendilerine iyi davran\u0131ld\u0131\u011f\u0131n\u0131 hisseden m\u00fc\u015fterilerdir. Duyarl\u0131l\u0131k Analizi, m\u00fc\u015fterinin hizmetler, \u00fcr\u00fcnler, kampanyalar hakk\u0131ndaki tutumlar\u0131n\u0131 ortaya \u00e7\u0131karabilir veya bir m\u00fc\u015fterinin sosyal payla\u015f\u0131mlar\u0131nda bulunan her bir kelimedeki \u00fcslup ve mizac\u0131n\u0131 tespit edebilir ve bunlar\u0131 olumlu, olumsuz veya tarafs\u0131z olarak s\u0131n\u0131fland\u0131rabilir.<\/p>\n<p>T\u0131pk\u0131 doktorlar\u0131n telefon arayan ki\u015finin akustik \u00f6zelliklerini, yani sesindeki fiziksel stresi ve konu\u015fma h\u0131z\u0131n\u0131 \u00f6l\u00e7ebilmesi ve konu\u015fulan kelimelerin ard\u0131ndaki ger\u00e7ek anlam\u0131 belirlemek i\u00e7in konu\u015fman\u0131n genel ba\u011flam\u0131n\u0131 \u00f6l\u00e7meye yard\u0131mc\u0131 olmas\u0131 gibi; \u015firketler, m\u00fc\u015fterilerin deneyimini ve \u015firketlerinin genel izlenimini iyile\u015ftirmek amac\u0131yla eyleme ge\u00e7irilebilir ad\u0131mlar atmak i\u00e7in sosyal a\u011flardan elde edilen bilgileri kullanabilir.<\/p>\n<p><strong>Daha H\u0131zl\u0131 Yan\u0131t S\u00fcreleriyle Rekabet Avantaj\u0131 Kazan\u0131n<\/strong><br \/>\nSosyal medyadaki m\u00fc\u015fterilerin y\u00fczde 50&#039;sinden fazlas\u0131 \u015firketlerden 60 dakika veya daha k\u0131sa s\u00fcrede yan\u0131t bekliyor (ve bu say\u0131 art\u0131yor). Evet do\u011fru okudunuz. Sosyal medyadaki m\u00fc\u015fterilerinizin neredeyse yar\u0131s\u0131, konu sosyal m\u00fc\u015fteri deste\u011fi oldu\u011funda &#039;duyulmaktan&#039; ho\u015flan\u0131r, bu da h\u0131zl\u0131 yan\u0131t s\u00fcresini kritik hale getirir.<\/p>\n<p>Duyarl\u0131l\u0131k analizi, m\u00fc\u015fterilerinden gelen hem olumsuz hem de olumlu sinyalleri toplayarak onlar\u0131n nas\u0131l performans sergiledi\u011fini ve rekabette nas\u0131l bir performans g\u00f6sterdiklerini okuyabilir. Markayla ilgili duygular\u0131 bilerek t\u00fcketici e\u011filimlerini tahmin edebilir ve bu e\u011filimlerden yararlan\u0131p rekabet avantaj\u0131 elde etmek i\u00e7in stratejiler geli\u015ftirebilirsiniz.<\/p>\n<p><strong>De\u011ferli \u0130\u015f Zekas\u0131<\/strong><br \/>\nAncak Social Bakers taraf\u0131ndan yap\u0131lan son ara\u015ft\u0131rma, \u015firketlerin \u00e7o\u011funlu\u011funun uygun i\u015f zekas\u0131 ihtiyac\u0131 konusunda m\u00fc\u015fteri hizmetleri beklentilerini kar\u015f\u0131lama konusunda yetersiz kald\u0131\u011f\u0131n\u0131 ortaya koyuyor.<\/p>\n<p>Duyarl\u0131l\u0131k analizi verileri, i\u015fletmelere mevcut ve gelecekteki m\u00fc\u015fteriler hakk\u0131nda, daha yeni i\u015f pazarlar\u0131 ve olas\u0131l\u0131klar\u0131 hakk\u0131nda de\u011ferli ve anlay\u0131\u015fl\u0131 bilgiler sa\u011flar ve \u015firketler bu bilgileri elde ederek eyleme d\u00f6n\u00fc\u015ft\u00fcr\u00fclebilir stratejiler olu\u015fturabilir.<\/p>\n<p>Tam bir resim olu\u015fturmak i\u00e7in istihbarat i\u00e7g\u00f6r\u00fclerinin insan i\u00e7g\u00f6r\u00fcleri ve di\u011fer \u00f6nemli \u00f6l\u00e7\u00fcmlerle birle\u015ftirilmesi gerekir.<\/p>\n<p><strong>Pazar Ara\u015ft\u0131rmas\u0131 i\u00e7in Yararl\u0131 Ara\u00e7<\/strong><br \/>\nDuyarl\u0131l\u0131k ara\u015ft\u0131rmas\u0131, \u015firketlerin ortaya \u00e7\u0131kan trendleri tespit etmesine ve yeni pazarlar\u0131 ke\u015ffetmesine yard\u0131mc\u0131 olabilir. Ayr\u0131ca kurulu\u015funuzun stratejik ilgisini \u00e7eken olaylar\u0131n izlenmesine de yard\u0131mc\u0131 olabilir. \u00d6rne\u011fin bir kurulu\u015f a\u015fa\u011f\u0131daki sorular\u0131 sorabilir:<\/p>\n<ul>\n<li>Mevcut piyasa istikrarl\u0131 m\u0131?<\/li>\n<li>Markan\u0131z piyasada iyi alg\u0131lan\u0131yor ve sayg\u0131 duyuluyor mu?<\/li>\n<li>Hangi f\u0131rsatlar\u0131 ka\u00e7\u0131r\u0131yorsunuz?<\/li>\n<li>Hangi yeni anla\u015fmalar geldi?<\/li>\n<li>M\u00fc\u015fteriler ne hakk\u0131nda konu\u015fuyor?<\/li>\n<li>Kullan\u0131lmayan m\u00fc\u015fterilere nas\u0131l ula\u015f\u0131l\u0131r?<\/li>\n<\/ul>\n<p><strong>Markay\u0131 Canland\u0131r\u0131n<\/strong><br \/>\nMarkala\u015fma tamamen bir m\u00fc\u015fterinin \u015firketinizi ve hedeflerini nas\u0131l alg\u0131lad\u0131\u011f\u0131yla ilgilidir ve duyarl\u0131l\u0131k analizi bu alg\u0131lar\u0131 \u00f6l\u00e7menize olanak tan\u0131r. Mevcut ve potansiyel m\u00fc\u015fteriler \u00fcr\u00fcn ve hizmetler, t\u00fcketici yolculuklar\u0131 ve deneyimleri, \u00e7evrimi\u00e7i i\u00e7erik, pazarlama ve sosyal kampanyalar hakk\u0131nda ne d\u00fc\u015f\u00fcn\u00fcyor? K\u0131sacas\u0131 genel marka.<\/p>\n<p>\u0130leriye d\u00f6n\u00fck olarak, duyarl\u0131l\u0131k analizini tam olarak dahil etme \u015fans\u0131na sahip olan i\u015fletmeler, daha fazla i\u015f de\u011feri elde edecek ve rekabet kar\u015f\u0131s\u0131nda belirgin bir avantaj elde edeceklerdir.<\/p>\n<p>\u015eu tarihte: <a href=\"https:\/\/www.datalabelify.com\/tr\/\">Labelify<\/a>olarak, e-ticaret \u015firketlerinin \u00e7evrimi\u00e7i olarak mevcut olan tonlarca yap\u0131land\u0131r\u0131lmam\u0131\u015f veriden de\u011ferli bilgiler elde etmelerine yard\u0131mc\u0131 oluyoruz. Bu al\u0131\u015ft\u0131rma, markalar\u0131n\u0131n hedef kitle taraf\u0131ndan nas\u0131l alg\u0131land\u0131\u011f\u0131n\u0131 anlamalar\u0131na yard\u0131mc\u0131 olur ve marka, dijital ve gelir hedeflerine ula\u015fmak i\u00e7in stratejiler tasarlamalar\u0131na yard\u0131mc\u0131 olur.<\/p>","protected":false},"excerpt":{"rendered":"<p>Customer Sentiment Analysis: The missing piece of the Big Data E-Commerce puzzle Customer opinion is vital to consumer brand success. Move beyond positive and negative, to find the real tone of what\u2019s been said. Experts estimate that E-commerce companies lose 10 billion dollars\u2019 worth in revenue per year as they are unable to capitalize on [&hellip;]<\/p>","protected":false},"author":3,"featured_media":14324,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2857","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-annotation"],"blocksy_meta":[],"featured_image_urls":{"full":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis.jpg",2240,1260,false],"thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-150x150.jpg",150,150,true],"medium":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-300x169.jpg",300,169,true],"medium_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-768x432.jpg",768,432,true],"large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-1024x576.jpg",1024,576,true],"1536x1536":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-1536x864.jpg",1536,864,true],"2048x2048":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-2048x1152.jpg",2048,1152,true],"trp-custom-language-flag":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-18x10.jpg",18,10,true],"ultp_layout_landscape_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-1200x800.jpg",1200,800,true],"ultp_layout_landscape":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-870x570.jpg",870,570,true],"ultp_layout_portrait":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-600x900.jpg",600,900,true],"ultp_layout_square":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-600x600.jpg",600,600,true],"yarpp-thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/12\/Customer-Sentiment-Analysis-120x120.jpg",120,120,true]},"post_excerpt_stackable":"<p>Customer Sentiment Analysis: The missing piece of the Big Data E-Commerce puzzle Customer opinion is vital to consumer brand success. Move beyond positive and negative, to find the real tone of what\u2019s been said. Experts estimate that E-commerce companies lose 10 billion dollars\u2019 worth in revenue per year as they are unable to capitalize on the intelligence found in hard-to-parse data such as emails, chats, social media posts, text and more. However, savvy companies are embracing the need to extricate data as a competitive advantage to determine customer needs and predict their behavior. \u201cWe are drowning in information, but we&hellip;<\/p>\n","category_list":"<a href=\"https:\/\/www.datalabelify.com\/tr\/category\/data-annotation\/\" rel=\"category tag\">Data Annotation<\/a>","author_info":{"name":"Parth P","url":"https:\/\/www.datalabelify.com\/tr\/author\/soeuidhae\/"},"comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/posts\/2857","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/comments?post=2857"}],"version-history":[{"count":4,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/posts\/2857\/revisions"}],"predecessor-version":[{"id":3079,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/posts\/2857\/revisions\/3079"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/media\/14324"}],"wp:attachment":[{"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/media?parent=2857"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/categories?post=2857"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/tags?post=2857"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}