Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/3862 2018 2018 Dept. of CSE, Vignan’s Foundation for Science, Technology and Research, Guntur, Andhra Pradesh, India Shriram Shriram Dept. of CSE, Vignan’s Foundation for Science, Technology and Research, Guntur, Andhra Pradesh, India Umadevi Maramreddy Intel India Pvt. Ltd., Bengaluru, India Shriram K. Vasudevan Artificial Intelligence's remarkable advancement and Natural Language Processing enabled innovations that fulfill various vertical requirements. News summarization has become a popular topic where systems extract valuable semantic content and generate shorter abstracts from the original content. News readers benefit from a quick understanding of essential details because an informative summary provides them with important points without forced reading of the whole article. This article covers essential NLP news summarization methods, including Abstractive summarization, Extractive summarization, and Hybrid summarization, together with recent datasets, evaluation metrics, applications and future challenges. The main benefit of this work serves both researchers by providing them with complete information about contemporary summarization developments to select suitable summarization models during application development. 2025 2025 179 192 10.54216/FPA.200114 https://www.americaspg.com/articleinfo/3/show/3862