Daha İyi Dağıtımla İyileştirilmiş Dengesiz Veriler Üzerinde Derin Öğrenme ile Verimli Metin Sınıflandırması

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2022

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Software Engineering
(2005)
Department of Software Engineering was founded in 2005 as the first department in Ankara in Software Engineering. The recent developments in current technologies such as Artificial Intelligence, Machine Learning, Big Data, and Blockchains, have placed Software Engineering among the top professions of today, and the future. The academic and research activities in the department are pursued with qualified faculty at Undergraduate, Graduate and Doctorate Degree levels. Our University is one of the two universities offering a Doctorate-level program in this field. In addition to focusing on the basic phases of software (analysis, design, development, testing) and relevant methodologies in detail, our department offers education in various areas of expertise, such as Object-oriented Analysis and Design, Human-Computer Interaction, Software Quality Assurance, Software Requirement Engineering, Software Design and Architecture, Software Project Management, Software Testing and Model-Driven Software Development. The curriculum of our Department is catered to graduate individuals who are prepared to take part in any phase of software development of large-scale software in line with the requirements of the software sector. Department of Software Engineering is accredited by MÜDEK (Association for Evaluation and Accreditation of Engineering Programs) until September 30th, 2021, and has been granted the EUR-ACE label that is valid in Europe. This label provides our graduates with a vital head-start to be admitted to graduate-level programs, and into working environments in European Union countries. The Big Data and Cloud Computing Laboratory, as well as MobiLab where mobile applications are developed, SimLAB, the simulation laboratory for Medical Computing, and software education laboratories of the department are equipped with various software tools and hardware to enable our students to use state-of-the-art software technologies. Our graduates are employed in software and R&D companies (Technoparks), national/international institutions developing or utilizing software technologies (such as banks, healthcare institutions, the Information Technologies departments of private and public institutions, telecommunication companies, TÜİK, SPK, BDDK, EPDK, RK, or universities), and research institutions such TÜBİTAK.

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Teknolojik gelişmeler ve internetin yaygınlaşması, günlük olarak üretilen verilerin katlanarak artmasına neden olmaktadır.\rBu veri tufanının önemli bir kısmı sosyal medya, iletişim araçları, müşteri hizmetleri gibi uygulamalardan gelen metin\rverilerinden kaynaklanmaktadır. Bu büyük miktarda metin verisinin işlenmesi otomasyona ihtiyaç duymaktadır. Son\rzamanlarda metin işlemede önemli başarılar elde edilmiştir. Özellikle derin öğrenme uygulamaları ile metin sınıflandırma\rperformansı oldukça tatmin edici hale gelmiştir. Bu çalışmada, metin sınıflandırma başarısını daha da artırmak için veri\rdengesizliği sorununu azaltan yenilikçi bir veri dağıtım algoritması önerdik. Deney sonuçları, veri dağılımını optimize eden\ralgoritma ile sınıflandırma doğruluğunda yaklaşık %3,5 ve F1 puanında 3'ün üzerinde bir iyileşme olduğunu göstermektedir.

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Turkish Journal of Science & Technology

Volume

17

Issue

1

Start Page

89

End Page

98

URI

https://doi.org/10.55525/tjst.1068940
 https://hdl.handle.net/20.500.14411/7567

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