Automatic Nostalgia Detection from Bengali Text
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
A Python Tool for Reconstructing Full News Text from GDELT
Reliable Decision Support with LLMs: A Framework for Evaluating Consistency in Binary Text Classification Applications
Dynamic Hedging Strategies in Derivatives Markets with LLM-Driven Sentiment and News Analytics
BAR-Analytics: A Web-based Platform for Analyzing Information Spreading Barriers in News: Comparative Analysis Across Multiple Barriers and Events
토론
이 논문과 연결된 포럼 글이 아직 없습니다.