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Conference Object Emotion Analysis on Turkish Texts: a Systematic Mapping Study(Institute of Electrical and Electronics Engineers Inc., 2022) Altmay,G.; Turhan,C.In recent years, the increase in internet usage also led to an increase in data. Therefore, the importance of classification has increased to understand and analyze the data more easily, and this made emotion analysis a necessity. Research in this area shows that emotion is a key tool in analyzing texts. However, there are very limited studies conducted on the text in Turkish language. The purpose of this study is to detect emotions in Turkish texts by analyzing the results of earlier studies in this scope. The following research questions are aimed to be answered: What are the years and count of publications What are the techniques used in the emotion analysis on texts What are the main data sets Which types of emotion are detected Which tools are used in emotion analysis For this reason, a systematic mapping study is performed to categorize and summarize the existing literature on emotion analysis. To ensure relevant papers in this field, an automated search process is performed for this study. Web of Science and Scopus databases are used for searching current and past research in emotion analysis on texts. There are 66 articles found on this subject. Then, by using filtering, irrelevant studies are removed. According to a set of inclusion and exclusion criteria, 9 relevant papers are selected in this field. The machine learning method is used for text analysis that automatically identifies the patterns and makes decisions about emotions. © 2022 IEEE.Article Citation - WoS: 13Citation - Scopus: 17Cutting Force Prediction in Ultrasonic-Assisted Milling of Ti-6al With Different Machining Conditions Using Artificial Neural Network(Cambridge University Press, 2021) Namlu,R.H.; Turhan,C.; Sadigh,B.L.; Kiliç,S.E.Ti-6Al-4V alloy has superior material properties such as high strength-to-weight ratio, good corrosion resistance, and excellent fracture toughness. Therefore, it is widely used in aerospace, medical, and automotive industries where machining is an essential process for these industries. However, machining of Ti-6Al-4V is a material with extremely low machinability characteristics; thus, conventional machining methods are not appropriate to machine such materials. Ultrasonic-assisted machining (UAM) is a novel hybrid machining method which has numerous advantages over conventional machining processes. In addition, minimum quantity lubrication (MQL) is an alternative type of metal cutting fluid application that is being used instead of conventional lubrication in machining. One of the parameters which could be used to measure the performance of the machining process is the amount of cutting force. Nevertheless, there is a number of limited studies to compare the changes in cutting forces by using UAM and MQL together which are time-consuming and not cost-effective. Artificial neural network (ANN) is an alternative method that may eliminate the limitations mentioned above by estimating the outputs with the limited number of data. In this study, a model was developed and coded in Python programming environment in order to predict cutting forces using ANN. The results showed that experimental cutting forces were estimated with a successful prediction rate of 0.99 with mean absolute percentage error and mean squared error of 1.85% and 13.1, respectively. Moreover, considering too limited experimental data, ANN provided acceptable results in a cost-and time-effective way. Copyright © The Author(s), 2020. Published by Cambridge University Press.Conference Object A Case Study on Measuring Course Learning Outcomes in Software Engineering Education;(CEUR-WS, 2017) Karakaya,M.; Turhan,C.; Yazici,A.One of the most critical outcomes in the MÜDEK accreditation system which plays an important role in the evaluation and assessment of the quality of education in higher education institutions is evaluating how much students have achieved the course outcomes. This study aims to compare two methods utilized to measure course outcomes in the Software Engineering department of Atilim University. In the most general sense, these two methods are based on indirect and direct measurement techniques. The results of the analysis show a high degree of differentiation between the direct measurement and indirect measurement results. In light of the results obtained, some recommendations have been offered for course outcome assessment methods to be developed in the scope of MÜDEK accreditation.Conference Object Citation - Scopus: 1Ontology-Based Semantic Analysis of Software Requirements: a Systematic Mapping(Institute of Electrical and Electronics Engineers Inc., 2022) Oguz,Z.Y.; Turhan,C.Each stage in the software development lifecycle has its own requirements, validation criteria, and output. Requirement analysis, which is one of the initial stages of the life cycle, can be considered as the most important stage of a project. Incorrectly defined, analyzed, and incorporated, requirements can lead to errors or even project failure in the later stages of the project. Considering the existence of software products in almost every field today, we can say that different requirements have arisen in a wide variety of fields. The use of appropriate technologies can yield much more efficient results than manual analysis of these relatively large numbers of different requirements. One of them is ontology-based approaches. In this research, the use of ontologies in software requirement analysis has been investigated. Systematic mapping was chosen as the research method. At the end of the study, it was found that technologies that adopt an ontology-based approach increase efficiency and accuracy in software requirements analysis. © 2022 IEEE.Conference Object Citation - Scopus: 5Utilization of Online Collaborative Tools in Software Engineering: an Empirical Study on Review Meetings(Institute of Electrical and Electronics Engineers Inc., 2021) Akman,I.; Turhan,C.; Hacaloglu,T.Software development involves a significant amount of team effort where collaboration and communication of the team members are crucial. The team meetings are core activities in all stages of the software development process. Even though these meetings often are conducted face-to-face (F2F) with a lackof technology utilization, changing global conditions such as the COVID-19 pandemic require other solutions urgently without interrupting the software development schedule. For this purpose, online collaborative tools provide new opportunities for software teams to work together avoiding waste in time and resources and the relevant literature is immature. This study aims to assess the factors affecting the integration of online collaborative tools to SE practices with a special reference to review meetings. For this purpose, a sample of 73 SE sophomore and junior students who are future software professionals participated in experimental review meetings based on predefined scenarios. The findings indicate that the utilization of OCT's has positive effects on the participants' actual performance and improves the interaction between team members compared to F2F meetings. © 2021 IEEE
