Development of a News Data Collection and Analytics App
Student: Aondoungwa George Labe (Project, 2025)
Department of Computer Science and Mathematics
Godfrey Okoye University, Urgwuomu- Nike, Enugu State
Abstract
This project presents the design and implementation of a news data analytics application aimed at providing users with insights into news trends and topics. The application allows users to search for specific keywords, view news topics, filter news data, and analyze trends over time. Administrators have additional functionalities such as updating news data, managing categories, and performing maintenance tasks. The system employs various technologies including Python for data processing, NodeJs for API development, and MongoDB for data storage. Frontend development is done using HTML, CSS, and JavaScript, with Bootstrap for styling. Data analysis and visualization are facilitated by pandas, Matplotlib, and Plotly.
The project aims to enhance user interaction with news data, like tools like Google Trends, through a user-friendly interface and comprehensive data analytics capabilities. The implementation process covers system architecture, tool selection, and integration of components, ensuring a robust and efficient system for the news data analysis system.
Keywords
For the full publication, please contact the author directly at: labegeorgeedu@gmail.com
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Institutions
- University of Ilorin, Kwara State 398
- University of Jos, Jos, Plateau State 19
- University of Lagos 18
- University of Maiduguri ( - Elearning), Maiduguri, Borno State 3
- University of Maiduguri, Borno State 109
- University of Nigeria, Nsukka, Enugu State 269
- University of Port Harcourt Teaching Hospital, Port Harcourt , River State 5
- University of Port-Harcourt, Rivers State 174
- University of Uyo, Akwa Ibom State 206
- Usmanu Danfodio University, Sokoto, Sokoto State 245