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			<dc:title><![CDATA[Sentiment Analysis on the IMDb Dataset: A Comparative Study of Classical, Deep Learning, and Transformer-Based Models]]></dc:title>
			<dc:creator>Toplu,Osman</dc:creator>
			<dc:description><![CDATA[Text data analysis, particularly sentiment analysis, has become a critical research area due to the rapid growth of user-generated content on digital platforms. Advances in natural language processing (NLP) have enabled the automatic analysis of opinions expressed in movie reviews, social media posts, and customer feedback, making sentiment classification an essential task in both academic research and industrial applications. This study aims to conduct a comparative analysis of classical machine learning, deep learning, and transformer-based models for sentiment analysis using the IMDb 50K dataset.]]></dc:description>
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