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An Artificial Intelligent based News Summarising System with Questions and Answers using Web Mining Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 58 |
| Year of Publication: 2025 |
| Authors: Helen Okparaji Onungwe, Joy Tochukwu Nnodi, Perpetua Chinazo Nwosu, Rhema Chukwuneme Briggs-Ikeotuonye |
10.5120/ijca2025925989
|
Helen Okparaji Onungwe, Joy Tochukwu Nnodi, Perpetua Chinazo Nwosu, Rhema Chukwuneme Briggs-Ikeotuonye . An Artificial Intelligent based News Summarising System with Questions and Answers using Web Mining Techniques. International Journal of Computer Applications. 187, 58 ( Nov 2025), 80-90. DOI=10.5120/ijca2025925989
Abstract
The exponential growth of digital news platforms has created a pressing challenge of information overload, making it difficult for readers to quickly access reliable and relevant updates. This paper presents an Artificial Intelligent-powered news summarizer with an integrated Question-and-Answer (Q&A) module, aimed at enhancing the efficiency and interactivity of modern news consumption. The system combines real-time news aggregation via the NewsData.io API, abstractive summarization using the BART transformer model, and Optical Character Recognition (OCR) with Tesseract to process text embedded in images. Unlike traditional platforms that provided either full-length articles or headlines, this application delivered concise, accurate summaries while enabling users to query specific details for deeper insights. The interactive Q&A feature ensured contextual understanding, while trend detection highlighted emerging topics. Implemented using React.js for the frontend and Node.js for the backend, the system demonstrated significant advantages in accessibility, relevance, and user engagement compared to existing enterprise-level summarization tools. Results indicated that the proposed solution effectively reduced reading time, mitigated information overload, and fostered trust through transparency and interactivity. This project underscored the potential of AI-driven approaches to transform digital journalism, offering a scalable, user-centric tool that bridged the gap between efficiency and credibility in news delivery.
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