In order to understand news, dependency patterns between objects in (economic) news items have to be detected. We propose a framework which makes it possible to discover these patterns, and support the observations with statistical analysis. Based on these patterns, alerts can be generated based on emerging news. These alerts can then be used to manage (equity) portfolios. We test our framework...

SocialNews seeks to enhance the news results returned by online news services such as Google News or Bing News by leveraging social networking information to provide more relevant results to the user. For example, Facebook profiles contain a wealth of information about the user’s interests, hobbies, personal history, and friends. We describe a system that analyzes the content in a user’s social...

We use quantitative media (blogs, and news as a comparison) data generated by a large-scale natural language processing (NLP) text analysis system to perform a comprehensive and comparative study on how company related news variables anticipates or reflects the company’s stock trading volumes and financial returns. Building on our findings, we give a sentiment-based market-neutral trading strat...

The presentation of news articles to meet research needs has traditionally been a document-centric process. Yet users often want to monitor developing news stories based on an event, rather than by examining an exhaustive list of retrieved documents. In this work, we illustrate a news retrieval system, eventNews, and an underlying algorithm which is event-centric. Through this system, news arti...

Current concerns about multiresistance and a diminishing antibiotic pipeline are mainly addressed to Gram-negative bacteria. The greatest fear within the Gram-positive arena is vancomycin-resistant Staphylococcus aureus. Its epidemiology and clinical presentation give cause for concern, but so far its impact has been strictly limited. While this may change, the loss of glycopeptides as a treatm...

This study investigates the motivations of Chinese college students to use social media read news. By integrating TAM and UGT frameworks, this examines impact users' perceptions for technologies intrinsic needs on their usage intentions. The findings show that students' perceived ease usefulness influences intention news reading. In addition, cognitive, social, affective satisfaction participan...

The present study is an analysis of the representation crises brought about by coronavirus disease (Covid-19) at socio-economic front in Saudi Arabia and world over, two English dailies, Gazette Arab News. analyses use metaphors language employed reporting news items or presentation expert opinions on virus disease, deeper significance such writing pandemic its causes. Cognitive Metaphor Theory...