Review of Studies Using Artificial Intelligence in Calculating Consumer Price Index (CPI)

Yıl 2022, Cilt: 14 Sayı: 1, 299 - 315, 31.01.2022

Abdulcebar On Necaattin Barışçı

https://doi.org/10.29137/umagd.1022087

Öz

The Consumer Price Index (CPI) is a method that measures the change in the prices of goods and services for household consumption over time. In this study, many independent studies on CPI in the field of artificial intelligence were investigated. As a result of the literature review, it was learned that the use of artificial intelligence in the calculation of CPI is in two processes: "collection and processing of data" and "classification of products". During the data collection and processing process, alternative method studies were carried out by the official statistics offices to the data collection process by means of questionnaires. For this purpose, product information and prices on online shopping sites have been compiled using methods such as web crawling technique. In the process of classification of products, various machine learning methods were used to match the product information obtained from companies in digital environment with the classification methods used within the scope of CPI. For this, natural language processing methods have been applied to digitize text bases data. As a result, with this study, studies using artificial intelligence within the scope of CPI were gathered under a single roof and a prediction was created for new alternative calculation methods.

Anahtar Kelimeler

web crawling, product matching, artificial intelligence, machine learning, natural language processing, cpi, information extraction

Tüketici Fiyat Endeksi (TÜFE) Hesaplamasında Yapay Zeka Kullanan Çalışmalarının İncelenmesi

Öz

Tüketici Fiyat Endeksi (TÜFE), hanehalklarının tüketimine yönelik mal ve hizmet fiyatlarının zaman içindeki değişimini ölçen bir yöntemdir. Bu çalışmada yapay zeka alanında TÜFE ile ilgili yapılan birbirinden bağımsız birçok çalışma araştırılmıştır. Yapılan literatür taraması neticesinde TÜFE hesaplanmasındaki yapay zeka kullanımı “verilerin toplanma ve işleme” ile “ürünlerin sınıflandırılması” olmak üzere iki süreçte olduğu bilgisine ulaşılmıştır. Verilerin toplanma ve işleme sürecinde resmi istatistik ofisleri tarafından anket aracılığıyla veri toplama işlemine alternatif yöntem çalışmaları gerçekleştirilmiştir. Bunun için çevrimiçi alışveriş sitelerindeki ürün bilgileri ve fiyatları web tarama tekniği gibi yöntemler kullanılarak derlenmiştir. Ürünlerin sınıflandırılması sürecinde ise çeşitli yöntemlerle firmalardan dijital ortamda alınan ürün bilgilerinin TÜFE kapsamındaki kullanılan sınıflandırma yöntemleri ile eşleşmesi için çeşitli makine öğrenme yöntemleri kullanılmıştır. Bunun için metin tabanları verileri dijitalleştirmek için doğal dil işleme yöntemleri uygulanmıştır. Sonuç olarak bu çalışma ile TÜFE kapsamında yapay zeka kullanan çalışmalar tek bir çatı altında toplanarak yeni alternatif hesaplama yöntemleri için öngörü oluşturulmuştur.

Anahtar Kelimeler

web tarama, ürün eşleştirme, yapay zeka, makine öğrenme, doğal dil işleme, tüfe, bilgi çıkarımı

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