Türkçe metinler üzerinde duygu analizi

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840662 Emotion analysis on Turkish texts.pdf (1.09 MB)

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2023

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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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Information Systems Engineering
Information Systems is an academic and professional discipline which follows data collection, utilization, storage, distribution, processing and management processes and modern technologies used in this field. Our department implements a pioneering and innovative education program that aims to raise the manpower, able to meet the changing and developing needs and expectations of our country and the world. Our courses on current information technologies especially stand out.

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Günümüz dünyasında veri miktarının ve çeşitliliğinin hızla artması veri sınıflandırmasını daha da önemli hale getirmiştir. Ancak Türkçe metinlerle yapılan çalışmalar oldukça sınırlıdır. Bu çalışmanın amacı, Türkçe metinlerden duyguları tasnif etmek ve bu alanda daha önce yapılmış araştırmaları incelemektir. Aşağıdaki araştırma sorularına cevap aranmaktadır: Metinler üzerinde duygu analizi nasıl yapılır? Hangi duygu kategorileri tespit edilebilir? BERT modeli Türkçe'de nasıl performans gösteriyor? Bu çalışma, Google Colab platformunda Python dili ve BERT modeli kullanılarak geliştirilen program ile Türkçe metinlerde duygu analizi yapmayı amaçlamaktadır. Çalışmada sınıflandırılan duygular öfke, şaşkınlık, korku, mutluluk, sevgi ve üzüntüdür.
In today's world, the amount and variety of data is increasing rapidly, and this has made data classification even more important. However, studies with Turkish texts are very limited. The purpose of this study is to classify emotions from Turkish texts and analyze the earlier research in this field. The following research questions are aimed to be answered: How is emotion analysis performed on texts? Which emotion categories can be detected? How does the BERT model perform on Turkish? This study aims to perform emotion analysis in Turkish texts with the program developed using Python language and BERT model on the Google Colab platform. The emotions classified in the study are anger, surprise, fear, happiness, love, and sadness.

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Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Computer Engineering and Computer Science and Control

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0

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52

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https://hdl.handle.net/20.500.14411/5664

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Master Tezler / Master Thesis