{"id":3078,"date":"2024-11-05T23:00:15","date_gmt":"2024-11-05T20:00:15","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/aws-comprehend-ile-ai-destekli-metin-analizi-flask-web-arayuzu\/"},"modified":"2024-11-05T23:00:15","modified_gmt":"2024-11-05T20:00:15","slug":"aws-comprehend-ile-ai-destekli-metin-analizi-flask-web-arayuzu","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/aws-comprehend-ile-ai-destekli-metin-analizi-flask-web-arayuzu\/","title":{"rendered":"AWS Comprehend ile AI Destekli Metin Analizi: Flask Web Aray\u00fcz\u00fc"},"content":{"rendered":"

AWS Comprehend ile AI Destekli Metin Analizi: Flask Web Aray\u00fcz\u00fc<\/p>\n

G\u00fcn\u00fcm\u00fczde veri miktar\u0131n\u0131n h\u0131zla artmas\u0131yla birlikte, bu verilerden anlaml\u0131 bilgiler \u00e7\u0131karmak b\u00fcy\u00fck bir zorluk haline geldi. Do\u011fal Dil \u0130\u015fleme (NLP), metin verilerinden i\u00e7g\u00f6r\u00fcler elde etmek i\u00e7in kullan\u0131labilen g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r. Amazon Web Services (AWS) Comprehend, metin analizini kolayla\u015ft\u0131rmak i\u00e7in tasarlanm\u0131\u015f, y\u00f6netilen bir NLP hizmetidir.<\/p>\n

Bu makalede, AWS Comprehend’in kullan\u0131m\u0131yla, Flask web \u00e7er\u00e7evesini kullanarak, metin verilerini analiz eden ve sonu\u00e7lar\u0131 kullan\u0131c\u0131 dostu bir web aray\u00fcz\u00fc arac\u0131l\u0131\u011f\u0131yla sunan basit bir uygulama olu\u015fturaca\u011f\u0131z. <\/p>\n

Uygulama Kurulumu<\/h2>\n

\u00d6ncelikle, uygulamam\u0131z i\u00e7in gerekli bile\u015fenleri kuraca\u011f\u0131z. <\/p>\n

1. AWS Hesab\u0131<\/h3>\n

AWS Comprehend’i kullanmak i\u00e7in \u00f6ncelikle bir AWS hesab\u0131na ihtiyac\u0131n\u0131z olacak. E\u011fer hen\u00fcz bir hesab\u0131n\u0131z yoksa, AWS web sitesinden<\/a> \u00fccretsiz bir hesap olu\u015fturabilirsiniz. <\/p>\n

2. Python ve Flask<\/h3>\n

Uygulamam\u0131z i\u00e7in Python programlama dilini ve Flask web \u00e7er\u00e7evesini kullanaca\u011f\u0131z. Python ve Flask’i bilgisayar\u0131n\u0131za kurmak i\u00e7in a\u015fa\u011f\u0131daki komutlar\u0131 kullanabilirsiniz:<\/p>\n

“`bash
\npip install Flask
\n“`<\/p>\n

3. AWS SDK for Python (Boto3)<\/h3>\n

AWS Comprehend ile etkile\u015fim kurmak i\u00e7in Boto3 k\u00fct\u00fcphanesini kullanaca\u011f\u0131z. Boto3’\u00fc kurmak i\u00e7in a\u015fa\u011f\u0131daki komutu kullanabilirsiniz:<\/p>\n

“`bash
\npip install boto3
\n“`<\/p>\n

Uygulama Kodunu Geli\u015ftirme<\/h2>\n

Art\u0131k gerekli bile\u015fenleri kurdu\u011fumuza g\u00f6re, uygulamam\u0131z i\u00e7in kodumuzu yazmaya ba\u015flayabiliriz. <\/p>\n

1. Flask Uygulamas\u0131 Olu\u015fturma<\/h3>\n

\u0130lk olarak, Flask web uygulamas\u0131n\u0131 olu\u015fturaca\u011f\u0131z. A\u015fa\u011f\u0131daki kod, Flask uygulamas\u0131n\u0131 tan\u0131mlar ve ana rotan\u0131n HTML \u015fablonunu y\u00fckler:<\/p>\n

“`python
\nfrom flask import Flask, render_template, request<\/p>\n

app = Flask(__name__)<\/p>\n

@app.route(‘\/’)
\ndef index():
\n return render_template(‘index.html’)<\/p>\n

if __name__ == ‘__main__’:
\n app.run(debug=True)
\n“`<\/p>\n

2. HTML \u015eablonu<\/h3>\n

Flask uygulamas\u0131 taraf\u0131ndan y\u00fcklenen index.html \u015fablonu a\u015fa\u011f\u0131daki gibi olabilir:<\/p>\n

“`html
\n
\n
\n
\n AI Destekli Metin Analizi<\/title><br \/>\n<\/head><br \/>\n<body><br \/>\n Metin Analizi Uygulamas\u0131<\/p>\n<form method=\"POST\" action=\"\/analyze\">\n <textarea name=\"text\" placeholder=\"Metninizi girin\"><\/textarea><br \/>\n <button type=\"submit\">Analiz Et<\/button><br \/>\n <\/form>\n<p><\/body><br \/>\n<\/html><br \/>\n“`<\/p>\n<h3>3. Metin Analizi Fonksiyonu<\/h3>\n<p>Metin analizi i\u015flemini ger\u00e7ekle\u015ftiren fonksiyonu a\u015fa\u011f\u0131daki gibi tan\u0131mlayabiliriz:<\/p>\n<p>“`python<br \/>\nimport boto3<\/p>\n<p>comprehend = boto3.client(‘comprehend’)<\/p>\n<p>@app.route(‘\/analyze’, methods=[‘POST’])<br \/>\ndef analyze():<br \/>\n text = request.form[‘text’]<\/p>\n<p> # AWS Comprehend’i kullanarak metni analiz edin<br \/>\n sentiment = comprehend.detect_sentiment(Text=text, LanguageCode=’tr’)<br \/>\n entities = comprehend.detect_entities(Text=text, LanguageCode=’tr’)<\/p>\n<p> # Sonu\u00e7lar\u0131 bir s\u00f6zl\u00fckte saklay\u0131n<br \/>\n results = {<br \/>\n ‘sentiment’: sentiment[‘Sentiment’],<br \/>\n ‘entities’: [entity[‘Text’] for entity in entities[‘Entities’]],<br \/>\n }<\/p>\n<p> return render_template(‘results.html’, results=results)<br \/>\n“`<\/p>\n<h3>4. Sonu\u00e7 \u015eablonu<\/h3>\n<p>Analiz sonu\u00e7lar\u0131n\u0131n g\u00f6r\u00fcnt\u00fclendi\u011fi results.html \u015fablonunu a\u015fa\u011f\u0131daki gibi olu\u015fturabiliriz:<\/p>\n<p>“`html<br \/>\n<!DOCTYPE html><br \/>\n<html><br \/>\n<head><br \/>\n <title>Analiz Sonu\u00e7lar\u0131<\/title><br \/>\n<\/head><br \/>\n<body><br \/>\n Analiz Sonu\u00e7lar\u0131<\/p>\n<p>Duygu: {{ results[‘sentiment’] }}<\/p>\n<p>Varl\u0131klar:<\/p>\n<ul>\n {% for entity in results[‘entities’] %}<\/p>\n<li>{{ entity }}<\/li>\n<p> {% endfor %}\n <\/ul>\n<p><\/body><br \/>\n<\/html><br \/>\n“`<\/p>\n<h2>Uygulamay\u0131 \u00c7al\u0131\u015ft\u0131rma<\/h2>\n<p>Uygulama kodunu tamamlad\u0131ktan sonra, a\u015fa\u011f\u0131daki komutu \u00e7al\u0131\u015ft\u0131rarak uygulamay\u0131 \u00e7al\u0131\u015ft\u0131rabilirsiniz:<\/p>\n<p>“`bash<br \/>\nflask run<br \/>\n“`<\/p>\n<p>Uygulama, varsay\u0131lan olarak http:\/\/127.0.0.1:5000 adresinde \u00e7al\u0131\u015facakt\u0131r. <\/p>\n<h2>Sonu\u00e7<\/h2>\n<p>Bu makalede, AWS Comprehend’i kullanarak, Flask web \u00e7er\u00e7evesini kullanarak, metin verilerini analiz eden ve sonu\u00e7lar\u0131 kullan\u0131c\u0131 dostu bir web aray\u00fcz\u00fc arac\u0131l\u0131\u011f\u0131yla sunan basit bir uygulama olu\u015fturduk. Uygulama, girdi metninin duygusunu ve varl\u0131klar\u0131n\u0131 tespit etmek i\u00e7in AWS Comprehend hizmetini kullan\u0131r. <\/p>\n<p>AWS Comprehend, geli\u015ftiricilerin uygulamalar\u0131na g\u00fc\u00e7l\u00fc NLP yetenekleri eklemelerini kolayla\u015ft\u0131r\u0131r. Bu makaledeki \u00f6rnek uygulama, AWS Comprehend’in nas\u0131l kullan\u0131labilece\u011fine dair basit bir \u00f6rnektir ve daha karma\u015f\u0131k NLP g\u00f6revlerini ger\u00e7ekle\u015ftirmek i\u00e7in geni\u015fletilebilir. <\/p>\n<p>Fatih Soysal olarak, kendi web siteniz <a href=\"https:\/\/fatihsoysal.com\" target=\"_blank\" rel=\"noopener\">fatihsoysal.com<\/a> \u00fczerinde daha fazla bilgi ve \u00f6rnekler bulabilirsiniz. <\/p>\n<p>#Etiketler<br \/>\n#AWS #Comprehend #Flask #Python #NLP #MetinAnalizi #WebUygulamas\u0131 #Do\u011falDil\u0130\u015fleme #AI #YapayZeka<\/p>\n","protected":false},"excerpt":{"rendered":"AWS Comprehend ile AI Destekli Metin Analizi: Flask Web Aray\u00fcz\u00fc G\u00fcn\u00fcm\u00fczde veri miktar\u0131n\u0131n h\u0131zla artmas\u0131yla birlikte, bu verilerden…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-3078","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AWS Comprehend ile AI Destekli Metin Analizi: Flask Web Aray\u00fcz\u00fc<\/title>\n<meta name=\"description\" content=\"G\u00fcn\u00fcm\u00fczde veri miktar\u0131n\u0131n h\u0131zla artmas\u0131yla birlikte, bu verilerden anlaml\u0131 bilgiler \u00e7\u0131karmak b\u00fcy\u00fck bir zorluk haline geldi. Do\u011fal Dil \u0130\u015fleme (NLP), metin verilerinden i\u00e7g\u00f6r\u00fcler elde etmek i\u00e7in kullan\u0131labilen g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r. Amazon Web Services (AWS) Comprehend, metin analizini kolayla\u015ft\u0131rmak i\u00e7in tasarlanm\u0131\u015f, y\u00f6netilen bir NLP hizmetidir.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/aws-comprehend-ile-ai-destekli-metin-analizi-flask-web-arayuzu\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AWS Comprehend ile AI Destekli Metin Analizi: Flask Web Aray\u00fcz\u00fc\" \/>\n<meta property=\"og:description\" content=\"G\u00fcn\u00fcm\u00fczde veri miktar\u0131n\u0131n h\u0131zla artmas\u0131yla birlikte, bu verilerden anlaml\u0131 bilgiler \u00e7\u0131karmak b\u00fcy\u00fck bir zorluk haline geldi. 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