ShowMe.news is a dynamic news clustering system that allows users to explore news articles based on their interests. By entering specific keywords, users can quickly retrieve relevant news articles, group them into meaningful clusters, and explore related topics in an organized manner. This approach provides a powerful tool for organizing and analyzing large amounts of news data in real time, enabling users to identify trends, explore topics of interest, and gain a better understanding of complex news stories and their relationships. ShowMe.news enhances the user experience by providing a visual and interactive way to explore news content, making it easier to discover and engage with relevant information. Whether you are looking for the latest news on a specific topic or want to explore trending stories, ShowMe.news offers a dynamic and user-friendly platform for exploring news articles based on your interests.
ShowMe.news is designed to make exploring and engaging with news articles effortless and intuitive. To get started:
Enter one or more keywords in the search bar at the top of the page and click the "Search" button. The system will instantly retrieve a set of relevant news articles based on your search query.
The retrieved articles will be grouped into meaningful clusters. Each cluster represents a unique topic or theme, making it easier to identify patterns and explore specific areas of interest.
The clusters are displayed as interactive nodes in a graph-like visualization:
You can zoom in and out of the visualization to adjust your view and explore clusters in finer detail or at a broader level. This makes it easier to focus on specific topics or analyze the big picture.
Adjust settings such as the number of clusters or specific keyword combinations to refine your search and tailor the results to your preferences.
ShowMe.news provides a dynamic and user-friendly platform that brings news exploration to life. Whether you're researching a specific topic, identifying trends, or simply browsing through the latest headlines, the system is designed to make discovering and engaging with news content seamless, interactive, and insightful.
Contact: Aravind Narayanan
Laboratory of Applied Informatics Research
Faculty of Information
University of Toronto, ON, Canada