DEVELOPMENT OF A NEWS DATA COLLECTION AND ANALYTICS APP
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.
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