Yazar "Özmen, Cemile Gökçe" seçeneğine göre listele

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    Öğe
    Business analytics with data mining: An investigation of web based data with sentiment analysis
    (Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi, 2025) Özmen, Cemile Gökçe; Gündüz, Selim
    Consumers refer to product reviews in the processes of decision-making and obtaining information about the product before performing purchasing behaviour through e-commerce. Product reviews are produced by other consumers who have already purchased and experienced the product. It is aimed in this study to examine cosmetic products in a Turkey based e-commerce website with sentiment analysis and to create a new domain-specific Turkish sentiment dictionary model with manual labelling. In the study, a Turkish sentiment dictionary consisting of 65,378 words was created by manually labelling 875,445 product comments obtained from the web and sentiment analysis was performed using this dictionary. The data set is used for positive, neutral and negative classification problems by using various machine learning algorithms. Algorithms are compared by evaluated with accuracy, precision, recall and f-1 score metrics. The performance of the algorithms was highly successful in the groups and categories to which the product reviews were assigned. Compared to other algorithms, SVM showed the highest success in all categories. Thus, the created sentiment analysis dictionary showed classification success in the field of cosmetics and achieved high performance. The dictionary created in the study for the cosmetics sector is a reference source for similar or further studies to be carried out in the future.
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    Öğe
    Supply-Chain Resilience and Risk Management in the Post-COVID Era
    (Taylor and Francis, 2024) Gündüz, Selim; Özmen, Cemile Gökçe
    Natural disasters such as earthquakes, anthropogenic hazards such as terrorism, or pandemic diseases such as COVID-19, which affect the whole world in every aspect, have caused businesses and supply chains to be adversely affected throughout history. In this way, unpredictable and unpreventable conditions have forced businesses and decision-makers to develop strategies and act with multiple alternatives to take precautions. With the COVID-19 outbreak, the high dependence of countries, industries and businesses on their suppliers and the extent to which interruptions cause disruptions have shown themselves with brutal consequences. In this study, by focusing on the literature and real case studies, the disruptions experienced by supply chains during the COVID-19 period are discussed, and the measures taken to improve supply-chain resilience against disruptions after the pandemic are evaluated. Thus, by analysing the case studies obtained through six semi-structured interviews with supply-chain businesses from various industries, the lessons learned from the COVID-19 experiences have revealed the practices that can respond quickly to change, make more functional decisions at times of risk, and take more robust steps in the event of a different disruption in the future, on the purpose of developing supply chain resilience. © 2025 selection and editorial matter, Shilpa Deo and Fatma Feyza Gündüz; individual chapters, the contributors.