Revolutionizing News Summarization: Harnessing Bert with React Native for Enhanced Accessibility
Dr. R. G. Suresh Kumar*1, Dr. S. Udhaya Shree*2, V. B. Seshang Saran*3,
1 Head of the department CSE department, Rajiv Gandhi College of Engineering and Technology, Puducherry, India
2 Lecturer CSE department, Rajiv Gandhi College of Engineering and Technology, Puducherry, India
3Student, CSE department, Rajiv Gandhi College of Engineering and Technology, Puducherry, India
ABSTRACT
In today’s fast-paced world, individuals are overwhelmed by a constant stream of news articles, making it impractical to manually sift through multiple sources. The proposed solution to this challenge is a news article summarization system powered by advanced natural language processing (NLP) techniques. By integrating BERT (Bidirectional Encoder Representations from Transformers), a state-of-the-art model known for its powerful language representation capabilities, the system automates the process of extracting relevant information from various local online newspapers, providing users with a streamlined way to stay informed despite their busy schedules. The system's architecture is designed for efficiency, focusing on the retrieval of the top ten news articles from Google News via its API. To ensure the extraction of relevant content, the system uses Beautiful Soup, a Python library for web scraping, which allows it to collect and structure news data efficiently. BERT is then applied to analyze the content and generate accurate summaries. BERT’s deep contextual understanding of language allows it to process and comprehend the nuances of news articles, ensuring that the summaries are both accurate and informative. This combination of technologies enhances both the efficiency of news retrieval and the quality of information presented to readers. By providing concise, insightful summaries, the system allows individuals to quickly grasp essential information without wading through lengthy articles. This approach aligns with the modern need for quick, digestible news consumption in an era when time is scarce, ensuring that users can stay well-informed without feeling overwhelmed.
Keywords: News summarization, BERT, NLP, Google News API, Beautiful Soup, web scraping, contextual understanding, automation, concise summaries, efficient information retrieval.
