jtas İstanbul Ticaret Üniversitesi Teknoloji ve Uygulamalı Bilimler Dergisi 2645-8969 Istanbul Ticaret University İYİLEŞTİRİLMİŞ OTOMATİK ANAHTAR KELİME ÇIKARIMI BRAKE Brake: Better Rapid Automated Keyword Extraction Birdevrim Sina Ahmet İstanbul Ticaret Üniversitesi, Bilgisayar Mühendisliği Ana Bilim Dalı, İstanbul, Türkiye Boyacı Ali İstanbul Ticaret Üniversitesi, Bilgisayar Mühendisliği Ana Bilim Dalı, İstanbul, Türkiye Thani Dena Ahmed S. Al Hamad Bin Khalifa University, College of Science and Engineering, Doha, Qatar 08 01 2018 1 1 11 19 Copyright © 2018, Istanbul Commerce University Journal of Tecnologies and Applied Sciences 2018 Istanbul Commerce University Journal of Tecnologies and Applied Sciences

Ayrıca, çalışmalar yazar tarafından atanan anahtar kelimelerin 19%'unun makaleye dahil olmadığını göstermiştir Kim vd., 2010 . Bu nedenlerden dolayı, veri madenciliğinin bir dalı olan verilerin otomatik olarak çıkarılması giderek önem kazanmakta ve otomatik anahtar kelime çıkarma algoritmaları ile bu problem yüksek oranda aşılabilmektedir

Keywords and keyphrases facilitate the analysis of a large number of textual materials and allow quick and easy access to the desired information. Automatic keyword algorithms can be used to extract these data. Automatic keyword extraction algorithms; We can define it as extracting the most explicit words or phrases that appear in a text in a particular algorithm. Algorithms such as TD-IDF and RAKE, which are two of the most common algorithms, are used in these algorithms. It is aimed to produce meaningful key words from texts with high entropy value.

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