Unitrend Media Monitoring presents data sourced from various online news articles. Media monitoring involves tracking and analyzing the content of online media to gather information that reflects or shapes public opinion. Our methodology includes web crawling to collect the data, which is then processed using Natural Language Processing (NLP) and Machine Learning (ML) to identify key elements in the dataset, such as emerging sentiments, theme and topic classification, Named Entity Recognition (NER), and descriptive statistics. The results are then presented in a structured and informative manner through an interactive dashboard featuring time filters, sentiment visualizations, keyword categorization, and NER visualizations. NER covers entities such as persons, organizations, geopolitical locations, and more.