A Scalable Approach for Sentiment Analysis of Turkish Tweets and Linking Tweets to News
Published in IEEE, 2016
We present a framework for sentiment analysis on tweets related to news items. Given a set of tweets and news items, our framework classifies tweets as positive or negative and links them to the related news items. For the classification of tweets we use three of the most used machine learning methods, namely Naive Bayes, Complementary Naive Bayes, and Logistic Regression, and for linking tweets to news items, Natural Language Processing (NLP) techniques are used, including Zemberek NLP library for stemming and morphological analysis and then bag-of-words method for mapping. Read more
This course provides an introduction to the fundamental concepts, technologies, and design principles of wireless sensor networks. Students will learn about the different types of sensors and communication technologies used in WSNs, as well as the various challenges that need to be addressed in the design and implementation of these networks. Topics such as medium access control, routing protocols, data management, power management, security, and applications of WSNs will be discussed in depth. By the end of the course, students will have a solid understanding of the key concepts and technologies involved in wireless sensor networks, as well as hands-on experience with programming and simulation tools. 
The course covers a variety of mathematical topics such as Calculus, Linear Algebra, Discrete Math, Number theory, Probability and Statistics, Optimization, Boolean Algebra and Automata theory. These topics are essential for understanding the fundamentals of computer science and for solving problems in computer science fields such as algorithms, complexity theory, cryptography, computer networks, and artificial intelligence. By the end of the course, students will have a solid understanding of the mathematical concepts and techniques used in computer science and will be well-prepared to pursue advanced studies or professional careers in the field. 
This course is designed for computer science students and professionals working in IT or related fields who want to improve their reading skills in technical subjects. The course covers a wide range of topics, and each reading passage is followed by a small glossary to help learners understand technical terms used in the text. By the end of the course, learners will have developed better reading comprehension skills and a more extensive technical vocabulary, enabling them to understand technical texts more easily and effectively. 
Software engineering plays a critical role in our modern digital age, where software applications are ubiquitous and have a profound impact on various aspects of our lives. Throughout this course, you will explore the entire software development life cycle, from requirements gathering and analysis to design, implementation, testing, and maintenance. You will delve into topics such as software architecture, software project management, quality assurance, and software maintenance. 
This course is designed to take your Java programming skills to the next level by exploring advanced topics and concepts in object-oriented design. In this course, you will learn how to implement complex data structures, design patterns, and advanced OOP principles such as interfaces, generics, and nested classes. You will also learn how to leverage Java’s powerful features such as streams and lambdas to write clean and concise code. Throughout the course, you will work on challenging assignments and projects that will help you apply the concepts you have learned in real-world scenarios. 
C is a powerful and versatile programming language that is used in a wide variety of applications. It is a low-level language, which means that it gives you a lot of control over your programs. This makes it ideal for performance-critical applications. C is also a portable language, which means that your programs can be easily ported to different platforms. This course will teach you the fundamentals of C programming. 
This course is designed to provide a comprehensive understanding of fundamental concepts in computer science and information technology. Covering essential topics such as Basic Computer Knowledge, Word Processing with Microsoft Word, Spreadsheet Software using Excel, Presentation Skills with PowerPoint, Computer Arithmetic, Hardware and Software fundamentals, Introduction to Algorithms, Pseudo Code, Flowcharts, and Basic Java Programming. This course aims to equip with the necessary skills to navigate the digital landscape. 
This course aims to explore the intersection of game theory and computer science, focusing on the algorithmic aspects of strategic decision-making in multi-agent environments. Game theory provides a powerful framework for analyzing the behavior of rational agents, while algorithms enable us to design intelligent systems that can reason, strategize, and interact in complex game scenarios. Throughout this course, we will delve into fundamental concepts such as Nash equilibrium, mechanism design, and auction theory, examining how they can be applied in various real-world domains including economics, social networks, and online platforms. 
Our journey through the world of data structures has been nothing short of enlightening. These fundamental concepts are the cornerstone of computer science and programming, and a deep understanding of them empowers us to write more efficient, organized, and robust code. I hope this exploration has ignited your curiosity and passion for data structures, as they are the key to unlocking the limitless possibilities of the digital world. Happy coding! 
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