Bu komut, yapay zekan\u0131n sosyal medyadan (payla\u015f\u0131mlar, yorumlar, ileti dizileri, yan\u0131tlar, de\u011ferlendirmeler veya do\u011frudan mesajlar) al\u0131nan ekran g\u00f6r\u00fcnt\u00fclerini analiz etmesini ve altta yatan duygu durumunu, duygusal tonu ve kullan\u0131c\u0131 tutumunu \u00e7\u0131karmas\u0131n\u0131 sa\u011flar.<\/p>\n
Model, ba\u011flam\u0131 (platform, etkile\u015fim t\u00fcr\u00fc, kat\u0131l\u0131mc\u0131lar) belirlemeli, duygu durumunu (olumlu, olumsuz, n\u00f6tr veya kar\u0131\u015f\u0131k) s\u0131n\u0131fland\u0131rmal\u0131 ve heyecan, hayal k\u0131r\u0131kl\u0131\u011f\u0131, alayc\u0131l\u0131k, g\u00fcven veya \u00f6fke gibi duygusal katmanlar\u0131 tespit etmelidir. Kelime se\u00e7imi, emojiler, noktalama i\u015faretleri veya ton de\u011fi\u015fiklikleri gibi ipu\u00e7lar\u0131n\u0131 kullanarak duygu durumunun yo\u011funlu\u011funu de\u011ferlendirmelidir.<\/p>\n
Yapay zek\u00e2 ayr\u0131ca birden fazla ekran g\u00f6r\u00fcnt\u00fcs\u00fcndeki kal\u0131plar\u0131 belirlemeli, bireysel yorumlar\u0131 daha geni\u015f grup duygu durumundan ay\u0131rt etmeli ve memler, mizah veya platform k\u00fclt\u00fcr\u00fc gibi ba\u011flamsal fakt\u00f6rleri hesaba katmal\u0131d\u0131r. \u00c7\u0131kt\u0131, ilgili oldu\u011funda i\u015fletme veya marka etkilerini i\u00e7ermeli, riskleri, f\u0131rsatlar\u0131 ve \u00f6nerilen eylemleri belirtmelidir.<\/p>\n
Son yap\u0131land\u0131r\u0131lm\u0131\u015f \u00e7\u0131kt\u0131 (ba\u011flam, duygu, sinyaller, yorumlama, eylemler), sosyal dinleme, marka izleme, topluluk y\u00f6netimi ve m\u00fc\u015fteri deneyimi analizi alanlar\u0131nda kullan\u0131lmak \u00fczere tasarlanm\u0131\u015ft\u0131r.<\/p>","protected":false},"excerpt":{"rendered":"
This prompt guides an AI to analyze screenshots from social media\u2014posts, comments, threads, replies, reviews, or direct messages\u2014and extract the underlying sentiment, emotional tone, and user attitude. The model must identify the context (platform, type of interaction, participants), classify sentiment (positive, negative, neutral, or mixed), and detect emotional layers such as excitement, frustration, sarcasm, trust, […]<\/p>\n","protected":false},"featured_media":25529,"comment_status":"open","ping_status":"closed","template":"","meta":[],"product_brand":[],"product_cat":[4094],"product_tag":[],"class_list":{"0":"post-26489","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-business-marketing","8":"first","9":"instock","10":"downloadable","11":"virtual","12":"product-type-simple"},"bundled_by":[],"bundle_stock_status":"instock","bundle_stock_quantity":null,"bundle_virtual":false,"bundle_layout":"","bundle_add_to_cart_form_location":"","bundle_editable_in_cart":false,"bundle_sold_individually_context":"","bundle_item_grouping":"","bundle_min_size":"","bundle_max_size":"","bundle_price":[],"bundled_items":[],"bundle_sell_ids":[],"_links":{"self":[{"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/product\/26489","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/comments?post=26489"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/media\/25529"}],"wp:attachment":[{"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/media?parent=26489"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/product_brand?post=26489"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/product_cat?post=26489"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/product_tag?post=26489"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}