Automatic Nostalgia Detection from Bengali Text
Ameya Debnath, Bipul Karmokar and Mohammad Shahidur Rahman
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The rise of user-generated content on digital plat forms has led to various types of communication, including comments on social media, articles, and videos. In this context, detecting nostalgic feelings in Bengali comments is a unique challenge. This study focuses on creating a dataset on ”Nostalgic Bengali comments” and will check which methods perform better to automatically spot nostalgic Bengali comments. We will use techniques from natural language processing, sentiment analysis, and machine learning to differentiate between comments that contain nostalgia and those that don’t. Our dataset includes diverse Bengali comments collected from YouTube. Detecting nos talgic Bengali comments could help us understand user feelings, cultural discussions, and how people engage with content. This research contributes to the field of sentiment analysis by specif ically addressing nostalgia in the Bengali language, enhancing our understanding of emotions in digital communication.