Online News: Event Detection and Community Identification

Nowadays, reading online news is very common among people. The amount of information on the web is growing at a rapid pace, which is driving up the consumption of online news. As a result, a system to gather and disseminate significant real-world events from massive amounts of web data is now required. In addition, a lot of businesses rely their judgements on global events that happen every day. One of the most important tasks is event recognition, which is finding news articles about the same occurrence and grouping them together. This method improves user navigation and gives news pieces a conceptual structure. To group linked news documents, it makes use of TF-IDF analysis, time-series analysis, and community detection. For interactive investigation and analysis, the system interfaces with an easy-to-use website that offers sentiment analysis and 3D visualizations for improved interpretability.