This paper presents a visual analytics approach to explore large news article collections in the domains of polarity and spatial analysis. The exploration is performed on the data collected with Europe Media Monitor (EMM), a system which monitors over 2500 online sources and processes 90,000 articles per day. By analyzing the news feeds, we want to find out which topics are important in differe...

Frequent disjunctive pattern is known to be a sophisticated method of text mining in a single document that satisfies anti-monotonicity, by which we can discuss efficient algorithm based on APRIORI. In this work, we propose a new online and single-pass algorithm by which we can extract current frequent disjunctive patterns by a weighting method for past events from a news stream. And we discuss...

In the application domain of stock portfolio management, software agents that evaluate the risks associated with the individual companies of a portfolio should be able to read electronic news articles that are written to give investors an indication of the nancial outlook of a company. There is a positive correlation between news reports on a company's nancial outlook and the company's attracti...

An event without a time-line does not carry much information. Description of an event is useful only when it can be augmented with the time-line of its occurrence. This is more important with the on-line publishing of news articles. News articles are nothing but a set of text-based descriptions of events. Therefore the actual time-lines of the article as well as each individual event are most i...

OBJECTIVE (1) To review how current global tobacco control policies address regulation of waterpipe tobacco smoking (WTS). (2) To identify features associated with enactment and enforcement of WTS legislation. DATA SOURCES (1) Legislations compiled by Tobacco Control Laws (www.tobaccocontrollaws.org). (2) Weekly news articles by 'Google Alerts' (www.google.com/alerts) from July 2013 to August...

Due to the overwhelming amount of items and information users need support in finding the information matching the individual preferences and expectations. Real-time stream-based recommender systems get in the focus of research allowing the adaption of recommendations to the user’s context and the current set of relevant items. In this paper we focus on recommending news articles. In contrast t...

GroupLens used collaborative filtering to generate recommendations for Usenet news and was evaluated by a public trial with users from over a dozen newsgroups. This research identified some important challenges involved in creating a news recommender system. SCENE [15] is such a news service. It stands for a SCal-able two-stage pErsonalized News rEcommendation system. The system considers chara...

Users increasingly inform themselves of the latest news through online news services. This is further accentuated by the increasingly seamless integration of social network platforms such as Twitter and Facebook into news websites, allowing easy content sharing and distribution. This makes online social network platforms of particular interest to news providers. For instance, online news produc...

OBJECTIVES The dissemination of health-related news through newspapers can influence the behavior of patients and of health care providers. We conducted a study to analyze the characteristics of health-related research published by two leading Brazilian newspapers. METHOD We retrospectively evaluated health-related news published in the electronic versions of the newspapers Folha de São Paulo...

In the era of data-driven journalism, data analytics can deliver tools to support journalists in connecting to new and developing news stories, e.g., as echoed in microblogs such as Twitter, the new citizen-driven media. In this paper, we propose a framework for tracking and automatically connecting news articles to Twitter conversations as captured by Twitter hashtags. For example, such a syst...