News Fusion: A Multi-Lingual News Aggregator

The digital era has transformed the way news is generated, disseminated, and consumed globally. This review paper, explores advancements in news processing techniques, focusing on natural language processing (NLP) applications in multilingual resource management, genre classification, and sentiment analysis. By examining recent research, we aim to summarize developments in these areas, highlight the use of emerging algorithms, and identify current challenges and opportunities for future research. The reviewed studies provide a foundation for understanding the capabilities and limitations of current approaches, emphasizing the importance of adaptable, efficient systems in managing the rapidly evolving news ecosystem.