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Yayın The risk perception of it outsourcing in Turkey(Işık Üniversitesi, 2013-08-28) Bingöl, Erdem; Sevgi, Cüneyt; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Enformasyon Teknolojileri Yüksek Lisans ProgramıThe competition in today's business is getting stronger each day. Due to its proven cost reduction potential the usage of Information Technology (IT) outsourcing and the flexibility it provided are among the attractive and effective features to both SMEs (Small Medium enterprises) and large enterprises. Most enterprises with different sizes decide to transfer some or all of their IT services to outsourcing vendors. Implementing IT outsourcing has some advantages such as decreasing time required to enter a market, increasing quality, enhancing customer satisfaction, and allowing an organization to focus on its core areas. However, the use of IT outsourcing comes with many risks which need to be carefully evaluated before any engagement. This thesis surveys the recent literature for the most important risk factors inherent to the IT outsourcing such as increase in expenses, increased dependence on outsourcing firm, confidentiality and communication problems, etc. Herein, we focus on identifying the IT outsourcing usage characteristics and understanding the perception of IT outsourcing risk factors by conducting a survey in both IT companies and IT departments of the companies in Turkey. The conducted data obtained by the survey is used to discover the variance among the management levels of IT personnel, in the perceived factors that may lead to IT outsourcing risks. We analyze the survey data and portrayed the current situation of risks of IT outsourcing perceived by IT practitioners in Turkey.Yayın Extracting meaningful information student surveys with NLP(Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2025-01-29) Pourjalil, Kajal; Ekin, Emine; Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, Bilgisayar Mühendisliği Yüksek Lisans Programı; Işık University, School of Graduate Studies, Master’s Program in Computer EngineeringThis thesis applied NLP techniques to analyze and summarize bilingual student feedback collected via end-of-semester surveys. The dataset, which contained open-ended responses in both English and Turkish, required a model adept at preserving linguistic nuances across languages. The Llama 2-7b-hf model, which had been trained explicitly for text generation, was selected for its capability to produce coherent and contextually relevant summaries. Data preprocessing involved organizing metadata such as department, semester, course name, and section number, segregating comments by word count, and removing personal identifiers to ensure privacy. Shorter comments (fewer than ten words) were grouped and summarized using a pipeline from the Transformers library, while longer comments were fine-tuned with metadataspecific prompts for detailed summarization. To further enhance analysis, sentiment classification was performed using the “cardiffnlp/twitter-robertabase-sentiment” model, categorizing feedback into negative, neutral, and positive sentiments. Evaluation metrics included expert reviews, contextual relevance, and logical consistency with the dataset’s sentiment distribution. Compared to previous models, the Llama 2 model demonstrated superior performance in generating complete, coherent summaries while preserving the overall intent and tone of the comments. Ultimately, this research highlighted the effectiveness of LLMs in processing multilingual educational data and their potential to provide actionable insights for improving course content and student experiences.
