Inshort Text Summarization of News Article
J. Deny, Siva Kamisetty, Harsha Vardhan Reddy Thalakola, Jagadeesh Vallamreddy, Vijay Kumar Uppari · 2023
Text summarization is a process of reducing a large amount of text into shorter version while retaining the most important information. When applied to news articles, text summarization can be used to provide a brief overview of the article’s main points, saving readers time and allowing them to quickly determine if the article is of interest to them. The massive increase in the volume of news articles being published every day, it is becoming increasingly difficult for readers to keep up with the latest developments. Text summarization, is technique of producing a short overview of a longer text, can assist readers in quickly grasping the major ideas of an article to present a method for abstractive text summarization of news articles using recurrent neural networks and sentence scoring approaches. The results of this experiment shows that proposed approach outcomes the existing methods in terms of summarization quality and efficacy. This approach provides a promising direction for improving the efficiency and accuracy of text summarization for news articles.