• Ramya sri Muthuluri
• Ch. Roopa
• J. Gayathri
• E. Nishanth Reddy
• N. Ashish Yadav

The News article summarization is a process designed to condense full-length articles into concise, informative summaries. This technique is essential in today's fast-paced world, where the volume of news content can be overwhelming Summarization methods fall into two main categories: extractive and abstractive. Extractive summarization focuses on identifying and selecting key sentences from the original text, while abstractive summarization involves generating new phrases and sentences that encapsulate the core ideas.

NLP, T5 model, Transformers, Extractive and Abstractive Summary, Streamlit, Text Processing, Gensim, rouge score, matplotlib, numpy

"News Article Text Summarization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.f266-f273, May-2024, Available :http://www.jetir.org/papers/JETIR2405529.pdf

"News Article Text Summarization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppf266-f273, May-2024, Available at : http://www.jetir.org/papers/JETIR2405529.pdf